Abstract: A semiconductor device package is provided, which includes a carrier, a first reflective element, a second reflective element, a first optical component, a second optical component and a microelectromechanical system (MEMS) device. The carrier has a first surface. The first reflective element is disposed on the first surface of the carrier. The second reflective element disposed on the first surface of the carrier. The first optical component is disposed on the first reflective element. The second optical component is disposed on the second reflective element. The MEMS device is disposed on the first surface of the carrier to provide light beams to the first reflective element and the second reflective element. The light beams provided to the first reflective element are reflected to the first optical component and the light beams provided to the second reflective element are reflected to the second optical component.

Abstract: In a method for operating a fingerprint sensor including a plurality of ultrasonic transducers, receiving a plurality of images corresponding to different subsets of the ultrasonic transducers of the fingerprint sensor are received, wherein the plurality of images are non-adjacent. For each image of the plurality of images, it is determined whether the image of the plurality of images is indicative of a fingerprint. Provided a number of images of the plurality of images that are indicative of a fingerprint satisfies a threshold, it is determined whether the images of the plurality of images that are indicative of a fingerprint are collectively indicative of a fingerprint. Provided the plurality of images are collectively indicative of a fingerprint, it is determined that the plurality of images include a fingerprint.

Abstract: One or more features of a friction ridge signature of a subject may be identified based on information representing a three-dimensional topography of friction ridges of the subject. Information representing the three-dimensional topography of the friction ridges of the subject may be received. One or more level-three features of the friction ridge signature of the subject may be identified based on the information representing the three-dimensional topography of the friction ridges of the subject. The one or more level-three features may include one or more topographical ridge peaks, topographical ridge notches, topographical ridge passes, pores, and/or other information.

Abstract: A skin information processing method for a skin information processing device that includes a storage portion includes include acquiring an image, and determining a base point that represents a sweat pore on a ridge of skin, from the acquired image and acquiring position information corresponding to a position of the base point on the image. The skin information processing method includes acquiring sample information indicating changes in color information around the determined base point, generating, as frequency information, information associating frequency components of the acquired sample information with the position information. The skin information processing method includes causing the storage portion to store information including the generated frequency information and the position information of the base point, as information used in skin authentication.

Abstract: The invention provides a computing device for processing fingerprint template data, wherein the computing device comprises modules configured for generating transformed fingerprint template data from original fingerprint minutiae template data, in which minutiae are represented at least by Cartesian or polar coordinates and an inherent minutiae direction, the computing device being configured to generate for each minutia of the original fingerprint minutiae data corresponding mega-vicinity data. The computing device may further comprise a comparator module being configured to compare two transformed fingerprint template data that comprises, for each minutia, mega-vicinity data of a first fingerprint and a second fingerprint. The computing device may further comprise a biometrics-secret binding module for protecting.

Abstract: A processor of an information processing device acquires an image, determines base point from the image, and acquires first position information of the base point. The processor determines a reference direction indicating characteristics of color information of a section of the image around the base point. The processor acquires a sample for each of a plurality of reference points acquired sequentially in accordance with a predetermined condition from a starting point determined on the basis of the base point and the reference direction. The processor calculates as frequency information, frequency components of changes in the color information with respect to the second position information for the plurality of samples, using a linear prediction coefficient calculated using a Yule-Walker method without applying a window function. The processor causes the memory to store information associating the frequency information, the first position information and the reference direction, as collation information.

Abstract: A semiconductor device comprising a fingerprint sensor configured to generate first-direction sensing data and second-direction sensing data by sensing a fingerprint image in a first direction and a second direction, respectively, which is perpendicular to the first direction; a differential sensing circuit configured to generate first-direction first differential data and second-direction first differential data by performing a differential operation on the first-direction sensing data and the second-direction sensing data, respectively; and a fingerprint processing circuit configured to generate first-direction second differential data and second-direction second differential data by performing a differential operation on the first-direction first differential data and the second-direction first differential data, respectively, and generate fingerprint data by adding the first-direction second differential data and the second-direction second differential data.

Abstract: Embodiments of the present disclosure provide an optical fingerprint verification method and a mobile terminal. The method may include: controlling the optical sensor to detect an external ambient light intensity when the mobile terminal acquires a fingerprint collecting instruction; controlling the optical fingerprint identification component to collect fingerprint data; and determining whether the fingerprint data matches to a set of target fingerprint template data corresponding to the external ambient light intensity via the AP, and when the fingerprint data matches to the set of target fingerprint template data, determining that a fingerprint verification is passed.

Abstract: An apparatus and method for detecting a fake fingerprint is disclosed. The apparatus may divide an input fingerprint image into blocks, determine an image quality assessment (IQA) value associated with each block, determine a confidence value based on the IQA values using a confidence determination model, and determine whether an input fingerprint in the input fingerprint image is a fake fingerprint based on the determined confidence value.

Abstract: Methods and systems for high-speed filtering of candidate fingerprint images in a gallery using a non-reference-point based matching involving histograms of tokens representing minutia data. The method or system may involve detecting minutia patterns in a probe image, defining tokens that represent the minutia patterns detected in the probe image, measuring a degree of similarity between the probe image and each gallery image by comparing a probability of occurrence of a set of the tokens defined for the probe image with a probability of occurrence of the same set of tokens in that gallery image, and identifying as a candidate for a match to the probe image each gallery image for which the measured degree of similarity satisfies a criterion.

Abstract: A rapid identification method for fingerprint first provides a fingerprint identification apparatus having a fingerprint sensing area and divides the fingerprint sensing area into fingerprint sensing sub-regions. In a registration stage, the method performs fingerprint sensing for the entire fingerprint sensing area to obtain fingerprint image for a whole fingerprint sensing area, fingerprint minutiae and relevant locations for the fingerprint minutiae and then pre-stores those data. In an identification stage, the method performs fingerprint sensing on a part of the fingerprint sensing sub-regions for a user to be identified and detects fingerprint minutiae and relevant locations for the fingerprint minutiae in the part of the fingerprint sensing sub-regions.

Abstract: A fingerprint recognition method capable of improving a fingerprint recognition rate includes: Step 1, collecting a fingerprint image, and recording the number of collecting times, and then proceeding to Step 2; Step 2, matching the fingerprint image with pre-stored fingerprint templates for recognition, where a current matching process for recognition ends if matching succeed, otherwise, the method proceeds to Step 3; Step 3, restoring the fingerprint image, and matching the restored fingerprint image with the pre-stored fingerprint templates for recognition, where the current matching process for recognition ends if matching succeed, otherwise, the method proceeds to Step 4; Step 4, comparing the number of collecting times with a preset number of times, where the current matching process for recognition ends if the number of collecting times reaches the preset number of times otherwise, the method returns back to Step 1.

Abstract: A method and circuit for fingerprint detection perform a first round of edge detection with a first parameter, and if a first value obtained during the first round of edge detection does not satisfy a predetermined threshold, perform a second round of edge detection with a second parameter, so as to allow a fingerprint that is not acceptable for the first parameter to be accepted for fingerprint recognition. If a second value obtained during the second round of edge detection does not satisfy the predetermined threshold neither, it is determined that the object subject to fingerprint detection is not a finger.

Abstract: Fingerprint matching may include one or more of the following techniques. Space-frequency representations are adaptively computed for one or more fingerprint images. Key feature points of the fingerprint images are automatically extracted. Mesoscopic features are extracted based on the key feature points and the space-frequency representations. Fingerprint images are matched against a database of known fingerprint images using a matching algorithm based on the key points and mesoscopic features of the fingerprint images. Deep neural networks may be used for some or all of these steps.

Abstract: An update management method causes an external tool, capable of transmitting an update message to update data such as shared keys within electronic control units (ECUs) making up an onboard network, to update shared keys and the like within the ECUs, while reducing the risk of all ECUs being unauthorizedly rewritten in a case where secret information given to the external tool is leaked. The update management method receives and verifies update authority information indicating authority of the external tool. In a case that an update message instructing updating of shared keys or the like of one or multiple ECUs has been transmitted from the external tool, if the verification is successful and the update authority information indicates that the transmission of the update message is within the range of authority of the external tool, the update is executed at the ECU, and otherwise, update at the ECU is inhibited.

Abstract: Browser requests are received and data included in it is added to a vector. If explicit identification information (username, cookie data, etc.) is present, the vector is associated with a pre-existing user record, which is then updated. If not, candidate user records may be identified according to correspondence with values in the vector. This may include comparing hashes of one or more values to identify similarities. Candidate vectors may be eliminated by identifying inconsistency in OS, device, and browser information. Probability assigned to each candidate vector may be adjusted, e.g., reduced, in response to inconsistency in other data relating to a browser, device, or of a more global nature, e.g. time zone, user attributes, etc. Records associated with different devices may be associated with one another by evaluating hashes of data values submitted by a user on the different devices. Where the hash values of two records intersect, they may be merged with one another.

Abstract: A dermal image information processing device includes: a dermal image information acquisition unit that acquires image information indicating an image of a papillary layer; and a singular region detection unit that detects a singular region indicating damage of the papillary layer, based on the acquired image information.

Abstract: According to a first aspect of the present disclosure, a fingerprint verification device is provided, comprising a fingerprint image sensor and a processing unit, the fingerprint verification device being configured to operate in a first resolution mode and in a second resolution mode, wherein the first resolution is higher than the second resolution, the fingerprint verification device further being configured to operate in a verification mode in which: the fingerprint image sensor captures a fingerprint image in the second resolution mode and the processing unit processes the captured fingerprint image; the processing unit selects one or more areas of the captured fingerprint image; the fingerprint image sensor recaptures the selected areas in the first resolution mode and the processing unit processes the recaptured selected areas.

Abstract: Embodiments of the present disclosure disclose a method for recognizing a fingerprint ridge point. The method includes performing orientation field estimation on a fingerprint image; identifying a pixel in the fingerprint image as a target pixel; determining a ridge direction of the target pixel according to the orientation field estimation, and a normal direction perpendicular to the ridge direction; defining a rectangular region by using the target pixel as a central point, a length of the rectangular region being along the ridge direction, a width of the rectangular region being along the normal direction of perpendicular to the ridge, and the rectangular region comprising multiple pixel rows; calculating a sum of grayscale values of pixels in each pixel row; and determining that the target pixel is a fingerprint ridge point when the sum of grayscale values corresponding to a pixel row that includes the target pixel is the minimum.

Abstract: An optical identification method, includes: projecting light on a finger to generate reflected light from the finger; receiving the reflected light by a pixel sensing array to obtain a plurality of finger images; and determining whether the finger images present a liveness characteristic, according to a required exposure time or average brightness of the finger images obtained by the pixel sensing array. When the finger images present the liveness characteristic, the optical identification method further includes: determining identification information according to the finger images; or when the finger images do not present the liveness characteristic, the optical identification method further includes: not determining identification information according to the finger images, and optionally, stopping the pixel sensing array from obtaining a subsequent finger image.

Abstract: A list of possible mated minutiae in a reference fingerprint and a search fingerprint is identified. The list of possible mated minutiae is divided into different groups of mated minutiae using pose grouping based on rigid transformation parameters. For each group, the possible mated minutiae are filtered to get a set of consistent mated minutiae pairs having similar rigid transformation. The topological consistency between groups is determined. If any two groups are topologically consistent to each other, they are merged to form a (virtual) larger group. A non-linear transformation parameters are estimated from the the mated minutiae in the merged group. The overall similarity of mated and non-mated minutiae in the overlapping area is determined after non-linear alignment of the two fingerprints, and the maximum similarity is output as the final similarity score between two fingerprints.

Abstract: Wireless Electronic Check Deposit Scanning and Cashing Machine (also known and referred to as WEDS) Web-based Online account cash Management computer application System (also known and referred to as OMS virtual/live teller)—collectively invented integrated as “WEDS.OMS” System. Method and Apparatus for Depositing and Cashing Ordinary paper and/or substitute checks and money orders online Wirelessly from home/office computer, laptop, Internet enabled mobile phone, pda (personal digital assistant) and/or any Internet enabled device. WEDS enables verification and transmittal of image, OMS is the navigation tool used to set commands and process requests, integrated with WEDS, working collectively as WEDS.OMS System.

Abstract: An optical fingerprint sensor, includes: an image sensor array; a collimator layer disposed above the image sensor array, the collimator array having an array of first apertures; a light guiding layer disposed on the collimator layer; a light source emitting light into the light guiding layer; and a sensing area disposed above the light guiding layer. The light guiding layer allows a portion of the light from the light source to enter to the sensing area while directing the remaining portion of the light forward.

Abstract: A rapid identification method for fingerprint first provides a fingerprint identification apparatus having a fingerprint sensing area and divides the fingerprint sensing area into fingerprint sensing sub-regions. In a registration stage, the method performs fingerprint sensing for the entire fingerprint sensing area to obtain fingerprint image for a whole fingerprint sensing area, fingerprint minutiae and relevant locations for the fingerprint minutiae and then pre-stores those data. In an identification stage, the method performs fingerprint sensing on a part of the fingerprint sensing sub-regions for a user to be identified and detects fingerprint minutiae and relevant locations for the fingerprint minutiae in the part of the fingerprint sensing sub-regions.

Abstract: According to a first aspect of the present disclosure, a fingerprint authentication system is provided, comprising: a transformation unit configured to transform a first format of a captured fingerprint into a second format of the captured fingerprint, wherein the first format defines coordinates of minutia positions and the second format defines relative positions of minutiae; and an authentication unit configured to compare the relative positions with stored reference values. According to a second aspect of the present disclosure, a corresponding fingerprint authentication method is conceived. According to a third aspect of the present disclosure, a corresponding computer program product is provided.

Abstract: A fake finger in which a transparent thin film is attached to a finger surface is discriminated. A fake-finger determination device includes: an imaging unit 10 that captures an authentication object as a fingerprint authentication object; a classifying unit 31 that classifies an image captured by the imaging unit 10 into a plurality of regions including at least a skin region and a background region using colors of pixels included in the image; and a determining unit 32 that determines whether or not a foreign substance is present in the periphery of a finger based on a feature of a region classified as neither the skin region nor the background region out of the regions classified by the classifying unit 31.

Abstract: An information processing apparatus is capable of allowing an operation by a finger of which a fingerprint has not been registered, and of improving operability while holding security. A collating unit collates fingerprint information about a finger that touched a touch panel read by a reader unit with registered fingerprint information. A control unit permits an operation to the touch panel by the finger when the fingerprint information read is coincident with the registered fingerprint information, and does not permit the operation when the fingerprint information read is not coincident with the registered fingerprint information. The control unit permits an operation to the touch panel by a finger of which fingerprint information is not coincident with the registered fingerprint information when at least one piece of fingerprint information among a plurality of pieces of fingerprint information that the reader unit reads simultaneously is coincident with the registered fingerprint information.

Abstract: The present disclosure provides a method and an apparatus for controlling a serial peripheral interface of a fingerprint sensor, and a mobile terminal. The method includes: detecting a fingerprint signal via a fingerprint sensor; and when the fingerprint signal is detected, opening the serial peripheral interface of the fingerprint sensor.

Abstract: An image processing device includes: a memory; and a processor coupled to the memory and the processor configured to execute a process, the process comprising: acquiring a plurality of biometric images of a same biological body part of a same user from a biometric sensor; generating, when a feature point appears at a corresponding position of the same biological body part in one or more of the plurality of biometric images and a feature point does not appear at the corresponding position in another of the plurality of biometric images, a pseudo feature point at the corresponding position of the another; and storing information of the feature point and the pseudo feature point of the plurality of biometric images as a biometric feature.

Abstract: A fingerprint template input method, device, and medium are provided. The fingerprint template input method includes: an ith fingerprint image captured by a fingerprint identification sensor are acquired, i being a positive integer; a candidate fingerprint template is obtained according to all of the acquired i fingerprint images; it is detected whether the candidate fingerprint template meets a preset condition; and if the candidate fingerprint template meets the preset condition, the candidate fingerprint template is input as a fingerprint template of the user's fingerprint.

Abstract: An arrangement and method for optical recording of live skin areas of human autopodia and documents has a layer body comprising sensor layer with light-sensitive elements in regular pixel rasters, transparent protective layer above the sensor layer as placement surface for skin areas or documents is integrated in a mobile image capture device having at least one display for user guidance and an internal power supply. The layer body has an area light-emitting layer under the sensor layer to emit light in a first angle range for frustrated total internal reflection at the placement surface when autopodia are placed thereon and to emit in a second angle range to illuminate documents on the placement surface. A controlling and data processing unit handles preprocessing and reducing captured image data and an electronic interface for wireless coupling of the image capture device with a further electronic device for image data processing.

Abstract: Systems and methods acquire and/or generate multiple different images of the same biometric identity, identify specific instances of biometric features in each of the different images, and merge the identified specific instances of biometric features into a data record that provides a digital representation of the biometric identity. Examples of biometric identities include fingerprints, handprints, palm prints, and thumbprints. In one embodiment, a counter is associated with each specific instance of a biometric feature found in the multiple images. Specific instances of biometric features found most frequently have high counts and are indicative of true identifications; those with low counts are indicative of false identifications. A threshold distinguishes between true and false identifications. Those specific instances with counts below the threshold are excluded when the digital representation of the biometric identity is generated.

Abstract: Disclosed are a system and method for performing spoof detection. The method includes: receiving, by a processor from a biometric sensor, an input image of a biometric; extracting, by the processor, one or more anti-spoof metrics from the input image; receiving, by the processor, an anti-spoof template corresponding to the biometric; for a first anti-spoof metric, computing, by the processor, a differential value between a value of the first anti-spoof metric extracted from the input image and a value of the first anti-spoof metric in the anti-spoof template; and determining, by the processor, whether the input image is a replica of the biometric based on the differential value.

Abstract: Systems and methods may be used by an automatic fingerprint identification system to estimate ridge flow maps in latent fingerprints. A latent fingerprint image and a plurality of reference ridge flow maps may initially be obtained. A latent ridge flow map for the obtained latent fingerprint image may be computed. One or more characteristics associated with the latent ridge flow map may be compared to one or more characteristics associated with each of the plurality of reference ridge flow maps. A similarity score between the latent ridge flow map and a particular reference ridge flow map may be computed for each of the reference ridge flow maps. The top closely matched ridge flow maps are used to improve the latent ridge flow map to enhance the latent fingerprint image to extract better set of minutia points to improve latent to ten-print matching accuracy.

Abstract: A method, device, and terminal for improving a fingerprint template are proposed. The method includes: receiving first feature information of a recorded fingerprint image based on preset fingerprint feature types; determining a degree of matching between the first feature information and second feature information based on the second feature information corresponding to the fingerprint feature types in a registered fingerprint template; determining whether the degree of matching is higher than or equal to a preset compensation threshold value; and acquiring a compensation image having no intersection with the fingerprint template from the fingerprint image if the degree of matching is higher than or equal to the compensation threshold value, and adding the compensation image to the fingerprint template.

Abstract: Advanced driver assistance systems need to be able to operate under real time constraints, and under a wide variety of visual conditions. The camera lens may be partially or fully obstructed by dust, road dirt, snow etc. The invention shown extracts high frequency components from the image, and is operable to classify the image as being obstructed or non-obstructed.

Abstract: The present invention provides a method and an apparatus for determining an identity identifier of a face in a face image, and a terminal. The method includes: obtaining an original feature vector of a face image; selecting k candidate vectors from a face image database; selecting a matching vector of the original feature vector from the k candidate vectors; and determining, an identity identifier that is of the matching vector. In embodiments of the present invention, a face image database stores a medium-level feature vector formed by means of mutual interaction between a low-level face feature vector and autocorrelation and cross-correlation submatrices in a joint Bayesian probability matrix. The medium-level feature vector includes information about mutual interaction between the face feature vector and the autocorrelation and cross-correlation submatrices in the joint Bayesian probability matrix, so that efficiency and accuracy of facial recognition can be improved.

Abstract: An electronic device may be provided with a display. The display may have an array of pixels that form an active area and may have an inactive area that runs along an edge of the active area. An opaque layer may be formed on an inner surface of a display cover layer in the inactive area of the display or may be formed on another transparent layer in the electronic device. An ambient light sensor window may be formed from the opening and may be aligned with color ambient light sensor. The ambient light sensor may have an integrated circuit with photodetectors. Ambient light passing through the ambient light sensor window may be diffused by a light diffuser having one or more light-diffusing layers. Diffused ambient light may be collimated using a light collimator having one or more light-collimating layers such as layers with inwardly facing protrusions.

Abstract: The present invention relates to a vehicle safe starting device which controls the starting of a vehicle according to a driver's state. One embodiment analyzes blood alcohol concentration by projecting infrared rays into the driver's skin and receiving a reflected signal, and thereafter controls so that the vehicle is not stared if the blood alcohol concentration is larger than a reference value. Since a general breathalyzer using a driver's exhalation is not used, but infrared rays and a method of skin contact touch using a finger, etc. are used, it is possible to accurately measure the blood alcohol level without giving a driver inconvenience, and it is possible to preempt vehicle accidents by blocking driving in an inappropriate state.

Abstract: A display device includes a substrate, display elements, a window, and a photo sensor array. The substrate includes a display area and a non-display area. The display elements overlap the display area. The window is disposed on the substrate. The photo sensor array is disposed between the substrate and the window. The photo sensor array is configured to sense three-dimensional pattern information (e.g., epidermal ridge information) of a user via light reflected from a touch input of the user. One or more of the display elements is configured to illuminate a contact area of the touch input with the light.

Abstract: A method and a device for improving a fingerprint template, and a terminal device are proposed. The method includes: extracting first feature information of a recorded fingerprint image based on preset fingerprint feature types; determining a degree of matching between the first feature information and second feature information based on the second feature information corresponding to the fingerprint feature types in a registered fingerprint template; determining whether the degree of matching is higher than or equal to a preset compensation threshold value; and acquiring a compensation image having no intersection with the fingerprint template from the fingerprint image if the degree of matching is higher than or equal to the compensation threshold value, and adding the compensation image to the fingerprint template.

Abstract: In one respect, there is provided a system for training a neural network adapted for classifying one or more scripts. The system may include at least one processor and at least one memory. The memory may include program code that provides operations when executed by the at least one memory. The operations may include: extracting, from an icon associated with a file, one or more features; assigning, based at least on the one or more features, the icon to one of a plurality of clusters; and generating, based at least on the cluster to which the icon is assigned, a classification for the file associated with the icon. Related methods and articles of manufacture, including computer program products, are also provided.

Abstract: A method for providing a user system access to a resource includes obtaining configuration data identifying devices at the user system; receiving a request from the user system for access to a resource; applying a function to the configuration data to generate a current fingerprint; comparing the current fingerprint to a reference fingerprint associated with the resource; determining a degree of similarity between the current fingerprint and the reference fingerprint; and granting access to the resource in response to the degree of similarity between the current fingerprint and the reference fingerprint.

Abstract: There are provided a liveness detection method and device. The liveness detection method comprises: generating a random action instruction sequence including at least one random action instruction; sequentially sending a random action instruction in the random action instruction sequence; and determining whether the sequentially sent random action instruction in the random action instruction sequence is sequentially executed by a living body based on detection information of at least two sensors, wherein the at least two sensors comprise an image sensor and at least one non-image sensor; and determining that the liveness detection is succeeded if the sequentially sent random action instruction in the random action instruction sequence is sequentially executed by the living body. Accuracy of liveness detection can be improved by adopting the random action sequence and by combining images captured by the image sensor and information detected by the non-image sensor.

Abstract: A system, method, and computer program product for multiplicating pattern images used as a trusted resource while reducing user participation, such as, for example, a producing N number (N>1) of reconstructed pattern images using shared images common to at least two constructed pattern images.

Abstract: A method for updating a sequence of fingerprint templates for matching is disclosed, comprising: acquiring a fingerprint image; comparing the fingerprint image with a preset fingerprint template selected from N preset fingerprint templates stored in advance, sequentially in a predetermined sequence of the N preset fingerprint templates for matching, each preset fingerprint template corresponding to a matching score; adjusting the matching score corresponding to an ith preset fingerprint template, when the fingerprint image matches the ith preset fingerprint template; and sequencing the N preset fingerprint templates in a sequence of the matching score corresponding to the respective preset fingerprint template from high to low, to obtain a updated sequence of the N preset fingerprint templates, in which a next acquired fingerprint image is compared with the preset fingerprint template selected from N preset fingerprint templates sequentially for matching.

Abstract: The invention relates to a method of authenticating a user by means of a fingerprint authentication system comprising a fingerprint sensing arrangement and authentication circuitry. The method comprises the steps of acquiring a first candidate fingerprint image; acquiring a second candidate fingerprint image; processing, while acquiring the second candidate fingerprint image, the first candidate fingerprint image by the authentication circuitry; and evaluating a result of the processing. When the evaluation indicates that successful authentication is not likely based on the first candidate fingerprint image, the user is authenticated based on the second candidate fingerprint image.

Abstract: A block-base error measure method for object segmentation includes the steps of dividing a reference image having an object into plural non-overlapping blocks, superimposing the reference image with a segmented image to obtain an error ratio of the block to define an enhanced equation and a modification equation to suppress the scattered error and enhance the contribution of the region error, so as to calculate the error amount of the segmented image and evaluate the performance of image segmentation. Compared with the conventional error measure method based on pixels, the present invention provides a more accurate high-level semantic.

Abstract: A screen module, a fingerprint acquisition method, and an electronic device are provided. The screen module includes: a fingerprint unit comprising a plurality of fingerprint sensors, which are located in a content display area of the screen module and configured to perform fingerprint acquisition; a processing component connected with the fingerprint unit, the processing component being configured to, after a triggering operation of a user's finger on the content display area is detected, actuate fingerprint sensors in a scanning area corresponding to the triggering operation to acquire fingerprint data of the user in the scanning area; and data transmission lines connected to the plurality of fingerprint sensors, and configured to transmit fingerprint data acquired by the fingerprint sensors in the scanning area to the processing component.

Abstract: Apparatuses and methods of a gradual power wake-up mechanism are disclosed. In one embodiment, a method of activating a device based on detection of a fingerprint image may include monitoring a first metric level of a first set of regions of the fingerprint image, determining a second metric level of a second set of regions of the fingerprint image in response to the first metric level exceeding a first threshold, and activating the device based on the second metric level of the second set of regions of the fingerprint image.