Abstract: This patent specification describes operations of a mobile device with barcode-reading capabilities and an application and license server. A mobile device may include a barcode-reading application downloaded from an application server. The barcode-reading application may operate in a base mode or an enhanced mode. In the base mode, the barcode-reading application may establish a network connection to a licensing server to obtain a license code, and determine at least one operating permission authorized by the license code. In the enhanced mode, the barcode-reading application may implement at least one enhanced barcode-reading function which corresponds to the at least one operating permission authorized by the license code. For example, the enhanced barcode-reading function may be a function of decoding a barcode symbology that the decoder is restricted from decoding in the base mode of operation.

Abstract: This patent specification describes operations of a mobile device with barcode-reading capabilities and an application and license server. A mobile device may include a barcode-reading application downloaded from an application server. The barcode-reading application may operate in a base mode or an enhanced mode. In the base mode, the barcode-reading application may establish a network connection to a licensing server to obtain a license code, and determine at least one operating permission authorized by the license code. In the enhanced mode, the barcode-reading application may implement at least one enhanced barcode-reading function which corresponds to the at least one operating permission authorized by the license code. For example, the enhanced barcode-reading function may be a function of decoding a barcode symbology that the decoder is restricted from decoding in the base mode of operation.

Abstract: An engine for a machine-readable symbol reader includes an image sensor; at least one optical component positioned in an optical path of the image sensor, the image sensor and the at least one optical component having a receiving optical axis and a depth of field; an illumination source; and at least two optical components positioned relative to the illumination source to direct light emitted by the illumination source outward of the engine as a first beam and at least a second beam. The first and the second beams are each parallel to the receiving optical axis of the image sensor and the at least one optical component at least along the depth of field of the image sensor and the at least one optical component. The first and the second beams are opposed to one another across the receiving optical axis of the image sensor and the at least one optical component to provide a visible aiming indication when impinging on an object.

Abstract: An indicia reading terminal has a three-dimensional depth sensor, a two dimensional image sensor, an autofocus lens assembly, and a processor. The three dimensional depth sensor captures a depth image of a field of view and create a depth map from the depth image, the depth map having one or more surface distances. The two dimensional image sensor receives incident light and capture an image therefrom. The autofocusing lens assembly is positioned proximate to the two dimensional image sensor such that the incident light passes through the autofocusing lens before reaching the two dimensional image sensor. The processor is communicatively coupled to the two dimensional image sensor, the three dimensional depth sensor, and the autofocusing lens assembly.

Abstract: Systems and methods for decoding a barcode are disclosed. A scan signal for a first portion of the barcode is acquired. Integrated sub-character barcode feature evidence for the barcode is stored including evidence for a first plurality of possible sub-character barcode feature interpretations for a first plurality of sub-character barcode features. Sub-character barcode feature measurements are extracted for a second plurality of sub-character barcode features from the scan signal. Sub-character barcode feature evidence is determined for the second plurality of sub-character barcode features, including evidence for a second plurality of possible sub-character barcode feature interpretations for the second plurality of sub-character barcode features. Whether a portion of the integrated sub-character barcode feature evidence corresponds to a portion of the sub-character barcode feature evidence is determined. The sub-character barcode feature evidence is integrated into the integrated sub-character barcode.

Abstract: Computerized methods and systems for locating barcodes applied to objects are provided. A method can receive a first image of a first barcode fragment applied to a first object captured at a first time and identify a first position of the first barcode fragment. The method can also receive a second image of a second barcode fragment captured at a second time and identify a second position of the second barcode fragment. The method can also predict a range of possible positions of the first barcode fragment at the second time based on a tracking model that tracks the first barcode fragment based on the first position, and determine that the first barcode fragment and the second barcode fragment correspond to the same barcode, if the second position is within the range of possible positions of the first barcode fragment at the second time.

Abstract: Systems and methods are provided for decoding barcodes. A scan signal is acquired along a scan through a barcode. A first character unit grid for a unit width pattern within the barcode along the scan is determined. At least one set of sampling coefficients relating the unit width pattern to a portion of the scan signal is determined based on the first character unit grid. The element width pattern for the unit width pattern is determined based on the at least one set of sampling coefficients and the portion of the scan signal.

Abstract: A method for scanning and decoding encoded symbols comprises processing low resolution image data from a full field of view and/or high resolution image data from one or more windowed segments of the field of view to provide imaging that is easily adaptable to different types of symbols and varying environmental conditions. The scanning method can be switched between the low resolution mode and the high resolution mode automatically based on whether the low resolution data is sufficiently accurate to decode the symbol.

Abstract: The application relates to a fingerprint sensor assembly for detection of properties or structure of a finger at chosen positions. The fingerprint sensor assembly includes a plurality of sensor electrodes, a processing unit, a dielectric substrate, and a plurality of conductive paths. The dielectric substrate is between the plurality of sensor electrodes and the processing unit. The first plurality of conductive paths is associated with the plurality of sensor electrodes, where each of the plurality of conductive paths includes at least a portion extending through the dielectric substrate and provides an electrical connection between one of the plurality of sensor electrodes and the processing unit. The processing unit is configured to detect a signal at each of the plurality of sensor electrodes. The plurality of sensor electrodes is embedded in the dielectric substrate.

Abstract: A system and method are disclosed for conserving power during navigation, e.g., user device pointer/cursor navigation, using a fingerprint image sensor, that may comprise processing, via a computing device, fingerprint image sensor data indicative of finger position and movement with respect to a fingerprint image sensor surface in a finger navigation mode to determine if the finger is in a first finger navigation mode; processing, via the computing device, fingerprint image sensor data indicative of finger position and movement with respect to a fingerprint image sensor surface in a finger navigation mode to determine if the finger is in a second finger navigation mode; and transitioning, via the computing device, the fingerprint image sensor from a first power consumption mode to a second power consumption mode, based on detecting a transition from the first finger navigation mode to the second finger navigation mode.

Abstract: In one aspect, a method and apparatus for detecting subject matter of interest in view data obtained by scanning an object including generating a filter adapted to respond to the subject matter of interest, splatting the filter onto a portion of the view data to provide a filter splat, and performing at least one operation on the portion of the view data using the filter splat to facilitate determining whether the subject matter of interest is present in the portion of the view data.

Abstract: A method of extracting data from a representation of an identifier, such as a fingerprint is provided. The method includes selecting a plurality of features, such as ridge ends or bifurcations, in the representation of an identifier, considering the positions of those features and generating a reference feature, such a s a centre, from the positions of the plurality of features. The method then links one or more of the features to the reference feature and/or links one or more of the features to one or more of the other features in the plurality of features. From the result, the method extracts data including information on one or more of: one or more of the plurality of features; the reference feature; one or more of the links between a feature and the reference feature; one or more of the links between a feature and another feature.

Abstract: A biometric authentication device uses IR-VCSELs as light sources for performing a better biometric authentication by providing clearer images. A light guide module is introduced to minimize the size of the device. Moreover, the biometric authentication device uses a single image sensing module to gather the vein image and the fingerprint image into the same detection signal which is then analyzed and compared with the pre-stored vein feature data and fingerprint feature data. Therefore, the biometric authentication device can achieve an approach in lowering hardware costs, simplifying circuit designs and providing an outstanding performance.

Abstract: An apparatus performs a biometric authentication by acquiring matching data detected at a time of a biometric authentication and including a matching biometric data, a manner of holding and a posture of a terminal. A processor performs a process including acquiring matching data detected at a time of a biometric authentication and including a matching biometric data, a manner of holding and a posture of the terminal, and performing a matching process. The matching process compares the matching data and registered data including registered biometric data related to manners of holding and postures of the terminal, to extract the registered data including the manner of holding and the posture similar to those included in the matching data, and judge a successful biometric authentication when a similarity of the registered biometric data included in the extracted registered data with respect to the matching biometric data is a threshold value or greater.

Abstract: A biometric information correcting apparatus includes: a palm print feature point extracting unit that extracts two feature points of a palm print of a user's hand from a first image obtained by capturing the palm print and representing the palm print; and a correcting unit that rotates a vein pattern of the user's hand on a second image or a feature portion of the vein pattern extracted from the second image, according to an orientation of a line joining the two feature points, the second image being obtained by a biometric information acquiring unit capturing the vein pattern, the second image being obtained by a biometric information acquiring unit capturing the vein pattern.

Abstract: Region of interest detection in raw time of flight images is described. For example, a computing device receives at least one raw image captured for a single frame by a time of flight camera. The raw image depicts one or more objects in an environment of the time of flight camera (such as human hands, bodies or any other objects). The raw image is input to a trained region detector and in response one or more regions of interest in the raw image are received. A received region of interest comprises image elements of the raw image which are predicted to depict at least part of one of the objects. A depth computation logic computes depth from the one or more regions of interest of the raw image.

Abstract: A method of detecting a face in an image includes performing face detection within a first window of the image at a first location. A confidence level is obtained from the face detection indicating a probability of the image including a face at or in the vicinity of the first location. Face detection is then performed within a second window at a second location, wherein the second location is determined based on the confidence level.

Abstract: According to an example, a face capture and matching system may include a memory storing machine readable instructions to receive captured images of an area monitored by an image capture device, and detect one or more faces in the captured images. The memory may further store machine readable instructions to track movement of the one or more detected faces in the area monitored by the image capture device, and based on the one or more tracked detected faces, select one or more images from the captured images to be used for identifying the one or more tracked detected faces. The memory may further store machine readable instructions to select one or more fusion techniques to identify the one or more tracked detected faces using the one or more selected images. The face capture and matching system may further include a processor to implement the machine readable instructions.

Abstract: Techniques for performing continuous enrollment for face verification are provided. In one embodiment, a computing device can receive, from a user, an indication that the user wishes to authenticate himself/herself with the computing device via face verification. In response to the indication, the computing device can capture, using a camera, a series of images of the user's face and can authenticate the user by evaluating each of the series of images against a face template for the user, where the user is authenticated based on an N-th image in the series. Once the user has been authenticated, the computing device can select one or more images from the series prior to the N-th image and can add the selected images to the user's face template.

Abstract: A method to provide privacy protection on a video includes performing people recognition on the video, when a registered person is recognized, determining if a privacy setting is turned on, and, when the privacy setting is turned on, performing privacy protection on the video. Performing privacy protection on the video includes pausing a recording of a live video, obscuring the registered person in the live video or a recorded video, or skipping ahead or deleting part of the recorded video.

Abstract: A method and an apparatus for detecting blink are provided. After obtaining an eye image sequence of a user, a currently analyzed image and a previously captured image are obtained from the eye image sequence and reflective regions of the currently analyzed image and the previously captured image are filtered, wherein the brightness values of pixels included in the reflective regions are higher than a brightness threshold. Difference pixel amount between the currently analyzed image and the previously captured image is calculated so as to determine whether the user blinks according to the difference pixel amount.

Abstract: A method for generating a motion signature based on motion signature information including detecting an activation-triggering criterion, determining, on the basis of the detection of a motion that corresponds to the activation-triggering criterion, the motion signature information corresponding to the motion; and generating the motion signature by encoding the corresponding motion signature information.

Abstract: For generating multi-logogram phrases from logogram radicals, code may recognize one or more logogram radicals from the display. In addition, the code may generate one or more logogram phrases from the one or more logogram radicals.

Abstract: This invention relates to a method for identifying a sign on an image of a document that can be deformed comprising: an acquisition (E1) of said digital image of said document; a determination (E2) in the acquired image of at least one candidate sign region using an image segmentation algorithm, for each candidate sign region, a calculation (E3) of a signature comprising a piece of information concerning the location in the acquired image of said candidate sign region and a region descriptor concerning the local characteristics of the image in said region, an identification (E4) of a sign on the image of the document using the calculated signatures comprising jointly a comparison (E41) of the calculated signatures with reference signatures concerning sign regions of document models, said comparison being carried out according to a geometric deformation model of said document, and an estimation (E42) according to said comparison of said geometric deformation model.

Abstract: A computer-implemented system and method for controlling document image capture are provided. The method includes identifying a categorization model for categorizing image frames and configuring an image capture device, based on the identified categorization model. A flow of frames of a same document captured with the configured image capture device is received and an image representation generated for each of a plurality of frames within the flow of frames. With the identified categorization model, for each of the plurality of frames, a confidence for at least one category is assigned to the frame based on the image representation. A category is assigned to the document when a threshold confidence for one of the at least one categories is assigned. An automatic capture of an image of the document is triggered based on the assigned category.

Abstract: Systems and Methods for identity information verification. The system includes an electronic device and a computing authentication unit. The electronic device includes a data capture unit for electronically scanning first data and second data corresponding to respective first and second locations of an identity document indicative of an individual. The computing authentication unit is configured to: perform a first verification to verify whether the first data matches the second data; perform a second verification, when the first data matches the second data, including comparing aggregated data from both the first and second data to identity data in one or more identity databases to verify personal identity information of the individual indicated in the identity document; and cause the electronic device to indicate a result of at least one of the first verification or the second verification.

Abstract: An image matching technique locates feature points in a template image such as a logo and then does the same in a test image. Feature points of a template image are determined under various transformations and used to determine a set of composite feature points for each template image. The composite feature points are used to determine if the template image is present in a test image.

Abstract: An apparatus for recognizing an iris includes: a camera configured to acquire eyeball image data; and a control module configured to estimate the iris based on pupil information extracted from the eyeball image data, acquire at least one candidate boundary line for confirming the iris based on the estimated iris, and select a final boundary line from the at least one candidate boundary line. The iris is recognizable according to the final boundary line.

Abstract: A method for controlling a robot cleaner configured to project light of a predetermined pattern to a floor of an area in front thereof in a specific direction and to acquire an image of the area to which the light is projected, according to the present disclosure, includes: (a) acquiring a front view image of the robot cleaner; (b) detecting the pattern from the image acquired in (a); and (c) discriminating a pattern formed by reflected light from a pattern formed by light directly projected from the robot cleaner, from among patterns indicated in the acquired image, on the basis of geometrical characteristics defined by a projection direction of the light and the direction of an optical axis in which the image is acquired when two or more patterns are detected from the image.

Abstract: A method and apparatus of providing a combined summary by receiving monitored audio and video are provided The method includes: receiving audio and video captured by at least one network camera; generating a video summary by detecting at least one video event from at least one of the audio and the video; generating an audio summary by detecting at least one audio event from at least one of the audio and the video; extracting at least one section of the video summary corresponding to the at least one audio event, and storing the extracted at least one section of the video summary with the audio summary; and providing a display of the video reproducing apparatus with a video summary control interface for controlling the video summary and an audio summary control interface for controlling the audio summary.

Abstract: A device for safeguarding a monitoring area in which an automatically operating machine is arranged, having a camera system for monitoring the monitoring area, a configuration unit for defining at least one protection area within the monitoring area, and an analysis unit for triggering a safety-related function. The camera system supplies camera images of the protection area and the analysis unit analyzes whether a foreign object is present in the protection area or penetrates into the protection area. The analysis unit is configured to classify a foreign object, which is present in the protection area or penetrates into the protection area, by analysis of the camera images, to determine on the basis of one or more features characteristic of welding sparks whether the foreign object is a welding spark. The analysis unit triggers the safety-related function if the foreign object has not been recognized as a welding spark.

Abstract: An image recognition system and method for a vehicle, including at least two camera units, each being configured to record an image of a road in the vicinity of the vehicle and to provide image data representing the respective image of the road, a first image processor configured to combine the image data provided by the at least two camera units into a first top-view image. The first top-view image is aligned to a road image plane, a first feature extractor configured to extract lines from the first top-view image, a second feature extractor configured to extract an optical flow from the first top-view image and a second top-view image, generated before the first top-view image by the first image processor, and a kerb detector configured to detect kerbs in the road based on the extracted lines and the extracted optical flow and provide kerb data representing the detected kerbs.

Abstract: A computerized system mountable on a vehicle operable to detect an object by processing first image frames from a first camera and second image frames from a second camera. A first range is determined to said detected object using the first image frames. An image location is projected of the detected object in the first image frames onto an image location in the second image frames. A second range is determined to the detected object based on both the first and second image frames. The detected object is tracked in both the first and second image frames When the detected object leaves a field of view of the first camera, a third range is determined responsive to the second range and the second image frames.

Abstract: Systems, methods, and apparatuses are described for predicting the placement of road signs. A device receives data depicting road signs from multiple vehicles. The device analyzes a detected placement of the road signs and at least one characteristic of a collection of the data. The characteristic describes the road upon which the data was collected, an operation of the vehicle from which the data was collected, or an environment in which the data was collected. The device generates a model that associates values for the detected placement of the road signs with values for the at least one characteristic. The model may be later accessed to interpret subsequent sets of data describing one or more road signs.

Abstract: To monitor a degree of attentiveness for a driver of a vehicle, a period is determined on the basis of a speed of the vehicle. It is determined whether an eyelid closed time and/or an eyelid closing time of the driver exceeds the period.

Abstract: The conference room automation apparatus employs a processor-based integrated movement sensor, lights, cameras, and display device, such as a projector, that senses and interprets human movement within the room to control the projector in response to that movement and that captures events occurring in the room. Preferably packed in a common integrated package, the apparatus employs a layered software/hardware architecture that may be readily extended as a platform to support additional third-party functionality.

Abstract: A method for displaying an image is disclosed. The method may be performed in an electronic device. Further, the method may detect at least one text region in the image and determine at least one text category associated with the at least one text region. Based on the at least one text region and the at least one text category, the method may generate at least one thumbnail from the image and display the at least one thumbnail.

Abstract: A disclosed facial recognition system (and method) includes face parsing. In one approach, the face parsing is based on hierarchical interlinked multiscale convolutional neural network (HIM) to identify locations and/or footprints of components of a face image, The HIM generates multiple levels of image patches from different resolution images of the face image, where image patches for different levels have different resolutions. Moreover, the HIM integrates the image patches for different levels to generate interlinked image patches for different levels, where interlinked image patches for different levels have different resolutions. Furthermore, the HIM combines the interlinked image patches to identify refined locations and/or footprints of components.

Abstract: Saliency map computation is described. In one or more implementations, a base saliency map is generated for an image of a scene. The base saliency map may be generated from intermediate saliency maps computed for boundary regions of the image. Each of the intermediate saliency maps may represent visual saliency of portions of the scene that are captured in the corresponding boundary region. The boundary regions may include, for instance, a top boundary region, a bottom boundary region, a left boundary region, and a right boundary region. Further, the intermediate saliency maps may be combined in such a way that an effect of a foreground object on the saliency map is suppressed. The foreground objects for which the effect is suppressed are those that occupy a majority of one of the boundary regions.

Abstract: Image cropping suggestion using multiple saliency maps is described. In one or more implementations, component scores, indicative of visual characteristics established for visually-pleasing croppings, are computed for candidate image croppings using multiple different saliency maps. The visual characteristics on which a candidate image cropping is scored may be indicative of its composition quality, an extent to which it preserves content appearing in the scene, and a simplicity of its boundary. Based on the component scores, the croppings may be ranked with regard to each of the visual characteristics. The rankings may be used to cluster the candidate croppings into groups of similar croppings, such that croppings in a group are different by less than a threshold amount and croppings in different groups are different by at least the threshold amount. Based on the clustering, croppings may then be chosen, e.g., to present them to a user for selection.

Abstract: Spatial pyramid pooling (SPP) layers are combined with convolutional layers and partition an input image into divisions from finer to coarser levels, and aggregate local features in the divisions. A fixed-length output may be generated by the SPP layer(s) regardless of the input size. The multi-level spatial bins used by the SPP layer(s) may provide robustness to object deformations. An SPP layer based system may pool features extracted at variable scales due to the flexibility of input scales making it possible to generate a full-image representation for testing. Moreover, SPP networks may enable feeding of images with varying sizes or scales during training, which may increase scale-invariance and reduce the risk of over-fitting.

Abstract: Some embodiments include a method of operating a computing device to learn user preferences of how to process digital images. The method can include: aggregating a user image selection and a context attribute associated therewith into a preference training database for a user, wherein the user image selection represents a record of the user's preference over at least one of adjusted versions of a base image when the adjusted versions are separately processed by different visual effects; determining a visual effect preference associated based on machine learning or statistical analysis of user image selections in the preference training database, the user image selections representing experimental records corresponding to the visual effects; updating a photo preference profile with the visual effect preference; and providing the photo preference profile to an image processor to adjust subsequently captured photographs provided to the image processor.

Abstract: Neural networks for object detection in images are used with a spatial pyramid pooling (SPP) layer. Using the SPP network structure, a fixed-length representation is generated regardless of image size and scale. The feature maps are computed from the entire image once, and the features are pooled in arbitrary regions (sub-images) to generate fixed-length representations for training the detectors. Thus, repeated computation of the convolutional features is avoided while accuracy is enhanced.

Abstract: Satellite images from vast historical archives are analyzed to predict severe storms. We extract and summarize important visual storm evidence from satellite image sequences in a way similar to how meteorologists interpret these images. The method extracts and fits local cloud motions from image sequences to model the storm-related cloud patches. Image data of an entire year are adopted to train the model. The historical storm reports since the year 2000 are used as the ground-truth and statistical priors in the modeling process. Experiments demonstrate the usefulness and potential of the algorithm for producing improved storm forecasts. A preferred method applies cloud motion estimation in image sequences. This aspect of the invention is important because it extracts and models certain patterns of cloud motion, in addition to capturing the cloud displacement.

Abstract: A photo imaging system and method for forming an image in porous material is provided. The photo imaging system includes a printing device configured to travel over the porous material for printing a photo on a printing surface area of the porous material and at least one curing device configured to travel over at least the printing surface area of the porous material to perform a curing process.

Abstract: A payment management system includes a synthetic barcode module, which may be part of a smart phone. The module comprises light management components and a controller. The light management components may include an optical receiver (e.g., camera or light sensor) and an optical emitter (e.g., display elements). A processor decodes drive data from files corresponding to barcodes. The decoded data is used to drive the controller which causes the emitter to emit light pulses that emulate light reflected from a series scanned barcode to communicate the payment barcode optically. The barcodes convey payment information to a point of sale.

Abstract: A method for associating a guest with information relating to said guest, comprises accepting a guest for hotel services and associating an identifier with said guest. The identifier is also stored in a storage device guest information is also stored in a storage device. A temporary cutaneous identification device which comprises an adhesive layer with markings deposited there on formed by depositing ink in a configuration representing guest identification and at least a portion of associated guest information. The same is applied to the skin of said guest.

Abstract: A contact smart card has a smart card contact pad and an IC chip. The smart card contact pad includes a circuit substrate, a card-reader contact element on a first side of the circuit substrate, and a connection element on a second side of the circuit substrate. The card-reader contact element has a noble metal electrically conductive surface, and the connection element has a chip terminal connection surface which is not a noble metal. The IC chip is preferably flip-chip mounted at the second side of the circuit substrate and electrically connected to the chip terminal connection surface. Furthermore, the chip terminal connection surface is preferably an organometallic electrically conductive corrosion protection layer.

Abstract: An IC module of the present invention includes: a sheet-like base having a first surface and a second surface and having a first through hole and a second through hole spaced apart from the first through hole; an IC chip provided to the first surface, having a contact communication function and a contactless communication function, and having two terminals formed thereon; a connecting coil formed on the first surface and having two ends; a contact terminal portion provided to the second surface and configured to contact an external contact machine; bridge wiring provided to the second surface, provided at a position overlapping with the first and second through holes, and electrically insulated from the contact terminal portion; a first conductive wire inserted through the first through hole and connecting the first terminal of the IC chip to the bridge wiring; a second conductive wire inserted through the second through hole and connecting the bridge wiring to the first end of the connecting coil; and a thir

Abstract: A dual IC card of the present invention includes: an IC module having a contact terminal portion contacting an external machine, a connecting coil configuring a contactless terminal portion by electromagnetic coupling, and an IC chip having a contact communication function and a contactless communication function; an antenna formed along a coil wiring path that defines an inductance and having a coupling coil portion electromagnetically coupling with the connecting coil of the IC module, a main coil portion formed along a coil wiring path that defines an inductance and connected to the coupling coil portion for performing contactless communication with the external machine, and a resistance-increasing portion provided in a section that forms the coil wiring path of at least one of the coupling coil portion and the main coil portion increase electrical resistance in the section; and a plate-like card body in which the antenna is arranged.