Abstract: In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.

Abstract: A system and method interpret optical characterization examinations performed with a set of optical devices. Each device comprises one or more arrays of optical metasurface structures and have arrays tailored to have distinct properties making them differ from one another. First data and second data are accessed that capture a physical fingerprint of each device and an outcome of an optical characterization examination performed with each device, respectively. The outcomes of examinations performed are impacted by the respective, distinct properties of the arrays. Each device is identified based on the first data accessed, which makes it possible to obtain a readout key associated with the identified device. This readout key accounts for the respective one of the distinct properties. Finally, the second data are interpreted according to the readout key obtained to elucidate the outcome of the optical characterization examination. The invention is further directed to related computer program products.

Abstract: A device for liveness detection is disclosed. The liveness detecting device has a simplest structure that principally comprises a light sensing unit and a signal processing module. Particularly, the signal processing module is configured for having a physiological feature extracting unit and a liveness detecting unit therein. The physiological feature extracting unit is adopted for extracting a first physiological feature from a PPG signal, or extracting a second physiological feature from the PPG signal that has been applied with a signal process. As such, through the first and second physiological features, the liveness detecting unit is able to determine whether a subject is a living body or not. The liveness detecting device does not use any camera unit and iPPG technology, such that the liveness detecting device has advantages of simple structure, low cost and immediately completing liveness detection.

Abstract: A liveness determining method and apparatus are provided. The liveness determining apparatus includes an optical sensor including at least one optical source; a memory configured to store registered color information; and at least one processor configured to: obtain, from the optical sensor, an input fingerprint image of an object corresponding to the at least one optical source, obtain input color information from the input fingerprint image, compare the input color information and the registered color information, and determine liveness of the object based on a result of the comparing.

Abstract: A human face identification apparatus, a distributed human face identification system and a corresponding method are provided. The method includes obtaining a human face block from an image, identifying a data of a person corresponding to the human face block according to a client database by a client apparatus, controlling the client apparatus to transmit the human face block to a server apparatus and controlling the server apparatus to identify the human face block according to a server database when the data of the person corresponding to the human face block cannot be identified by the client apparatus, and copying the data of the person corresponding to the human face block from the server database to the client database when the data of the person is identified according to the server database by the server apparatus.

Abstract: In examples, a relative skin reflectance of a captured image of a subject is determined. The determination selects from the captured image pixels of the subject's face and pixels in the background and normalizes luminance values of the skin pixels using the background pixels. The relative skin reflectance value is determined for the captured image, based on the normalized luminance values of the skin pixels. Optionally the relative skin reflectance value is qualified, based on thresholds of skin reflectance values, as suitable for biometric use. Optionally, a non-qualifying captured image is flagged and, optionally, another image is acquired, or the non-conforming image is processed further to transform the image into a suitable image for biometric analysis.

Abstract: Disclosed is a method and apparatus for testing a liveness, where the liveness test method includes receiving a color image and a photodiode (PD) image of an object from an image sensor comprising a pixel formed of a plurality of PDs, preprocessing the color image and the PD image, and determining a liveness of the object by inputting a result of preprocessing the color image and a result of preprocessing the PD image into a neural network.

Abstract: A user authentication method and a user authentication apparatus acquire an input image including a frontalized face of a user, calculate a confidence map including confidence values, for authenticating the user, corresponding to pixels with values maintained in a depth image of the frontalized face of the user among pixels included in the input image, extract a second feature vector from a second image generated based on the input image and the confidence map, acquire a first feature vector corresponding to an enrolled image, and perform authentication of the user based on a correlation between the first feature vector and the second feature vector.

Abstract: Described techniques for multi-label classification, in which sequential data includes characters that have two or more aspects that require classification, are capable of providing separate classifications for different categories of components. Using an appropriately-trained neural network, the described techniques perform aligning and otherwise combining two or more classifications (e.g., categories, or types of labels) to obtain multi-label characters.

Abstract: Various implementations disclosed herein include devices, systems, and methods that detect surfaces and reflections in such surfaces. Some implementations involve providing a CGR environment that includes virtual content that replaces the appearance of a user or the user's device in a mirror or other surface providing a reflection. For example, a CGR environment may be modified to include a reflection of the user that does not include the device that the user is holding or wearing. In another example, the CGR environment is modified so that virtual content, such as a newer version of the electronic device or a virtual wand, replaces the electronic device in the reflection. In another example, the CGR environment is modified so that virtual content, such as a user avatar, replaces the user in the reflection.

Abstract: A computing device stores a captured image as a transient image template when there is a failure in an image-based authentication of the captured image and the user of the computing device has provided user credentials that authorize the user to access the computing device. The transient image template may be used to further authorize the user to access the computing device during an established time period.

Abstract: In a method for smart roadway alerts, a roadway alert device, coupled to a vehicle: receives a video stream including a video of a location of a roadway from a video camera; decodes the video stream to extract a set of video frames; analyze the set of video frames to detect one or more risk events; generates a risk alert for each of the one or more risk events; and sends the risk alert to the vehicle.

Abstract: A non-transitory computer readable medium storing an image processing program causes a computer to function as: a processing unit that performs image processing on an image; and a control unit that controls the processing unit to execute first processing on a target image of the first processing instructed by a user and controls the processing unit to execute second processing corresponding to the first processing on a similar image that is similar to the target image.

Abstract: A sensor pixel circuit may include: a photodiode to which a current flows according to incident light; a storage capacitor connected in parallel to the photodiode; a first transistor for connecting a bias voltage and the photodiode by a contact of a recognition object; and a second transistor for transmitting charges stored in the storage capacitor to a data line.

Abstract: A biometric information sensor device includes a control unit that issues a notification for failure to read biometric information of a detection target when reading of the biometric information fails after a contact of the detection target with a reading surface is detected.

Abstract: Embodiments are disclosed for finding similar persons in images. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an image query, the image query including an input image that includes a representation of a person, generating a first cropped image including a representation of the person's face and a second cropped image including a representation of the person's body, generating an image embedding for the input image by combining a face embedding corresponding to the first cropped image and a body embedding corresponding to the second cropped image, and querying an image repository in embedding space by comparing the image embedding to a plurality of image embeddings associated with a plurality of images in the image repository to obtain one or more images based on similarity to the input image in the embedding space.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices associated with depth estimation are provided. For example, a feature representation associated with stereo images including a first and second plurality of points can be accessed. Sparse disparity estimates associated with disparities between the first and second plurality of points can be determined. The sparse disparity estimates can be based on machine-learned models that estimate disparities based on comparisons of the first plurality of points to the second plurality of points. Confidence ranges associated with the disparities between the first and second plurality of points can be determined based on the sparse disparity estimates and the machine-learned models. A disparity map for the stereo images can be generated based on using the confidence ranges and machine-learned models to prune the disparities outside the confidence ranges.

Abstract: An anti-counterfeiting method and a system for under-screen fingerprint identification are provided. A fingerprint sensing apparatus includes a display device and a fingerprint sensor, and the method includes the following steps. A fingerprint sensing image is captured for an object on the display device through the fingerprint sensor. The fingerprint sensing image is calibrated by using a color calibration parameter to generate a calibrated image. Whether the object is a real finger is determined by using an anti-counterfeiting algorithm and the calibrated image.

Abstract: A substrate and a covering structure coupled to the substrate form a chamber. The chamber houses an emitter configured to emit a radiation, a resonant reflector, a detector, and a fixed reflector. First and second windows extend through the covering structure. The emitter, the first reflector and the second reflector are reciprocally arranged such that radiation emitted from the emitter is reflected by the fixed reflector towards the MEMS reflector for further reflection towards the first window to form an output signal. The detector and the second window are reciprocally arranged such that an incoming radiation passing through the second window is received by the detector. The electronic module can be used for a 3D sensing application.

Abstract: In a method for fingerprint authentication, a fingerprint image is received from a fingerprint sensor. Fingerprint authentication of the fingerprint image is performed by comparing the fingerprint image to a set of authentication fingerprint images including at least one enrollment fingerprint image and at least one transformed fingerprint image, where the transformed fingerprint image is generated by applying a transfer function to at least one enrollment fingerprint image of the set of authentication fingerprint images, and where the transfer function is for simulating fingerprint image acquisition during a predefined environmental condition.