Abstract: Disclosed are automated biometric enrollment workflow (ABEW) systems and method implemented on a mobile communications device that includes a processor, memory and a display. The method is executed by the processor and includes opening of ABEW user interface (UI), initiating automated biometric enrollment workflow in which first biometric mode of the automated biometric enrollment workflow is started, a biometric sensor/scanner connected to mobile communications device scanning or reading a first biometric, wherein the first biometric is associated with the first biometric mode, analyzing the quality of the read/scanned first biometric, determining if the quality is sufficient, if the quality is insufficient, repeating the scanning/reading, analyzing and determining for the first biometric until the quality of the first biometric is sufficient and if the quality is sufficient, storing the first biometric.

Abstract: According to one embodiment, a computer-implemented method includes: capturing an image of a document using a camera of a mobile device; performing optical character recognition (OCR) on the image of the document; extracting an identifier of the document from the image based at least in part on the OCR; comparing the identifier with content from one or more reference data sources, wherein the content from the one or more reference data sources comprises global address information; and determining whether the identifier is valid based at least in part on the comparison. The method may optionally include normalizing the extracted identifier, retrieving additional geographic information, correcting OCR errors, etc. based on comparing extracted information with reference content. Corresponding systems and computer program products are also disclosed.

Abstract: In one approach, a method includes: capturing an image of a document using a camera of a mobile device; performing optical character recognition (OCR) on the image of the document; extracting data of interest from the image based at least in part on the OCR; and validating the extracted data of interest against reference information stored on the mobile device. In another embodiment, a method includes: capturing an image of a document using a camera of a mobile device; performing optical character recognition (OCR) on the image of the document; extracting data of interest from the image based at least in part on the OCR; and validating authenticity of the document based on comparing some or all of the extracted data of interest to reference information stored on the mobile device.

Abstract: A handwriting recognition system converts word images on documents, such as document images of historical records, into computer searchable text. Word images (snippets) on the document are located, and have multiple word features identified. For each word image, a word feature vector is created representing multiple word features. Based on the similarity of word features (e.g., the distance between feature vectors), similar words are grouped together in clusters, and a centroid that has features most representative of words in the cluster is selected. A digitized text word is selected for each cluster based on review of a centroid in the cluster, and is assigned to all words in that cluster and is used as computer searchable text for those word images where they appear in documents. An analyst may review clusters to permit refinement of the parameters used for grouping words in clusters, including the adjustment of weights and other factors used for determining the distance between feature vectors.

Abstract: A smart card has a bottom layer, a circuit board, a microprocessor, a retina identifying module, an operation unit, and a top layer. The microprocessor is mounted on the circuit board. The operation unit is mounted on the circuit board and is electrically connected with the microprocessor. The retina identifying module is mounted on the circuit board, is electrically connected with the microprocessor, and has a retina identifying chip and an encapsulation. The retina identifying chip is mounted on the circuit board and is electrically connected with the microprocessor. The encapsulation body is transparent, is mounted on and encloses the retina identifying chip, and has a convex top face. The top layer is mounted on the circuit board to cover the microprocessor, the operation unit and the retina identifying module.

Abstract: A method for cropping photos images captured by a user from an image of a page of a photo album is described. Corners in the page image are detected using corner detection algorithm or by detecting intersections of line-segments (and their extensions) in the image using edge, corner, or line detection techniques. Pairs of the detected corners are used to define all potential quads, which are then are qualified according to various criteria. A correlation matrix is generated for each potential pair of the qualified quads, and candidate quads are selected based on the Eigenvector of the correlation matrix. The content of the selected quads is checked using a salience map that may be based on a trained neuron network, and the resulting photos images are extracted as individual files for further handling or manipulation by the user.

Abstract: A method, apparatus, computer program product and system are provided for facilitating video and/or image summarization based on facial expressions. In this regard, a method is provided that includes receiving one or more first frames and one or more second frames, determining information regarding one or more facial expressions contained in the one or more second frames, and causing the information regarding the one or more facial expressions to be associated with at least one of the one or more first frames.

Abstract: Examples are disclosed herein that relate to classifying ambiguous data in an image. One example provides, on a computing device, a method of processing image data, the method comprising defining a contiguous area of ambiguous data in an image, determining a border surrounding the contiguous area, classifying the contiguous area as dark or far based on a characteristic of one or more pixels of the border, and for the classified contiguous area, processing one or more pixels of the contiguous area differently if the contiguous area is classified as far than if the contiguous area is classified as dark.

Abstract: There is provided an image processing device including a matching degree calculation unit configured to calculate a matching degree between a pixel value of a target pixel in a standard image of a current frame and a pixel value of a corresponding pixel in a reference image of the current frame, and an estimation unit configured to estimate a disparity between the standard image and the reference image based on a result obtained by calculating the matching degree. The matching degree calculation unit calculates the matching degree using a disparity estimated for the standard image and the reference image of a previous frame.

Abstract: An image processing pipeline may perform noise filtering and image sharpening utilizing common spatial support. A noise filter may perform a spatial noise filtering technique to determine a filtered value of a given pixel based on spatial support obtained from line buffers. Sharpening may also be performed to generate a sharpened value of the given pixel based on spatial support obtained from the same line buffers. A filtered and sharpened version of the pixel may be generated by combining the filtered value of the given pixel with the sharpened value of the given pixel. In at least some embodiments, the noise filter performs spatial noise filtering and image sharpening on a luminance value of the given pixel, when the given pixel is received in a luminance-chrominance encoding.

Abstract: A handwriting recognition system converts word images on documents, such as document images of historical records, into computer searchable text. Word images (snippets) on the document are located, and have multiple word features identified. For each word image, a word feature vector is created representing multiple word features. Based on the similarity of word features (e.g., the distance between feature vectors), similar words are grouped together in clusters, and a centroid that has features most representative of words in the cluster is selected. A digitized text word is selected for each cluster based on review of a centroid in the cluster, and is assigned to all words in that cluster and is used as computer searchable text for those word images where they appear in documents. An analyst may review clusters to permit refinement of the parameters used for grouping words in clusters, including the adjustment of weights and other factors used for determining the distance between feature vectors.

Abstract: A device and method for sorting objects immersed in a flowing medium are disclosed. An example device comprises a holographic imaging unit comprising one or more holographic imaging elements, a fluid handling unit comprising one or more microfluidic channels configured to conduct flowing medium along a corresponding holographic imaging element and at least one microfluidic switch arranged downstream of an imaging region in the microfluidic channel configured to direct objects in the flowing medium into a one of a plurality of outlets. The example device also comprises a processor configured to determine real-time characterizations of holographic diffraction images obtained for the moving objects. The processing unit is further configured to control the at least one microfluidic switch in response to the real-time characterizations.

Abstract: A method of automatic defect classification (ADC) includes detecting defective parts from a substrate wherein at least one unit process is performed; and classifying defect types of the respective defective parts, wherein the classifying includes obtaining a scanning electron microscope (SEM) image of each of the defective parts; registering information about the substrate in a graphic data system (GDS) image corresponding to each SEM image; defining a plurality of defects of interest (DOIs) categorizing defects of the respective defective parts; defining a DOI rule that is a criterion for determining which defects of the respective defective parts correspond to which DOI from among the DOIs; and analyzing the image to classify which defects of the respective defective parts correspond to which DOI from among the DOIs according to the DOI rule.

Abstract: A convolution circuit includes: a plurality of input oscillators, each configured to: receive a corresponding analog input signal of a plurality of analog input signals; and output a corresponding spiking signal of a plurality of spiking signals, the corresponding spiking signal having a spiking rate in accordance with a magnitude of the corresponding analog input signal; a plurality of 1-bit DACs, each of the 1-bit DACs being configured to: receive the corresponding spiking signal of the plurality of spiking signals from a corresponding one of the input oscillators; and receive a corresponding weight of a convolution kernel comprising a plurality of weights; output a corresponding weighted output of a plurality of weighted outputs in accordance with the corresponding spiking signal and the corresponding weight; and an output oscillator configured to generate an output spike signal in accordance with the plurality of weighted outputs from the plurality of 1-bit DACs.

Abstract: Example embodiments disclose a fingerprint recognition sensor and a fingerprint recognition system. The fingerprint recognition sensor may include a pad configured to apply a first wave signal having multi-frequency characteristics to an object, a signal applying electrode configured to transmit the first wave signal having multi-frequency characteristics to the pad and a signal receiving electrode configured to receive a reflection wave signal from the object to the pad based on the first wave signal.

Abstract: A mechanism is described for facilitating quantization and compression of three-dimensional graphics data using screen space metrics at computing devices. A method of embodiments, as described herein, includes detecting one or more sets of data comprising at least one of camera data, output format data, and geometry data, and obtaining geometry of a three-dimensional (3D) original object based on the geometry data. The method may further include computing, in camera space, visual quality of the 3D original object when moved closer to or farther away from a camera based on at least one of the camera data and the output format data, and computing a metric based on the visual quality. The method may further include compressing the 3D original object into a 3D quantized object based on the metric.

Abstract: A system and method validates user supplied photographs and/or characteristics using a video, audio or series of images of the user responding to instructions, and uses such validation in searching and/or matching.

Abstract: A method for inserting features into a three-dimensional object is disclosed, wherein features correspond to original features of the three-dimensional object. The inserting method comprises determining a reference shape using the original features; determining a set of vertices on the three-dimensional original object at the intersection between the reference shape and the three-dimensional object; modifying the local neighborhood of the set of vertices so that their local neighborhood is close to a set of target shapes. A method for obtaining features from a three-dimensional object is further disclosed. The method comprises obtaining anchor vertices whose local neighborhood is close to a set of target shapes; fitting a reference shape onto the anchor vertices; and obtaining the features using the fitted reference shape. A 3D object carrying anchor vertices and devices for implementing the disclosed methods are further disclosed.

Abstract: A protection case for receiving an electronic device includes a fingerprint reader, a communication unit, and a processor. The fingerprint reader reads a fingerprint of a finger placed on the fingerprint reader and transmits fingerprint data to the processor. The processor determines a movement path of the fingerprint placed on the fingerprint reader according to successively read fingerprint data, and transmits the determined movement path to the electronic device received in the protection case via the communication unit, to instruct the electronic device to perform a corresponding function.

Abstract: A signal encoding an infrared (IR) image including a plurality of IR pixels is received from an IR camera. Each IR pixel specifies one or more IR parameters of that IR pixel. IR-skin pixels that image a human hand are identified in the IR image. For each IR-skin pixel, a depth of a human hand portion imaged by that IR-skin pixel is estimated based on the IR parameters of that IR-skin pixel. A skeletal hand model including a plurality of hand joints is derived. Each hand joint is defined with three independent position coordinates inferred from the estimated depths of each human hand portion.