A control device sets first points on characters, generates a first frame composed of a first point and first circles, attaches first marks to points at which the first circles intersect characters, detects a range having a largest central angle and no first marks, sets second points on the first circles in the detected region, generates a second frame composed of a second point and second circles, attaches second marks to points at which the second circles intersect characters, sets a direction passing through the center portions of ranges having no second marks and the second point, sets second points arranged in the direction as the same class, calculates an approximate line connecting second points for each class, obtains straight lines indicating a row direction of characters immediately above and below an approximate line, and determines an inclination angle of an image from inclinations of the straight lines.

A mobile terminal includes a memory, and a processor coupled to the memory, wherein the processor is configured to execute first acquiring a frame obtained through photographing, second acquiring document image data of a document from the frame, first determining whether a form partial feature in a registered form and a document partial feature at a position corresponding to a position of the partial feature match, the document partial feature being in the document, and third acquiring a frame obtained through re-photographing when it is determined that the form partial feature and the document partial feature do not match.

A series of steps may be performed to automatically extract structured data from an image. First, anchor points may be extracted from the image, representing areas of the image that potentially contain information of interest. The arrangement of anchor points may be used to identify a template. A transform may be generated, to facilitate mapping between particular points in the selected template and corresponding points in the image. The transform may then be used to automatically read visual information from the image and extract structured data from the visual information.

According to one embodiment, a reading system includes an extractor, a determiner, and a reader. The extractor extracts a candidate image from an input image. The candidate image is a candidate of a portion of the input image in which a segment display is imaged. The determiner uses the candidate image and a mask to calculate a match ratio indicating a certainty of a segment display being included in the candidate image, and determines that the candidate image is an image of a segment display when the match ratio is not less than a threshold. The mask and the threshold are preset. The reader reads a numerical value displayed in a segment display from the candidate image determined to be an image of a segment display.

An image object recognition method, apparatus, and computer device are provided. The image object recognition method includes: performing feature extraction in the direction of a horizontal angle of view and in the direction of a vertical angle of view of an image respectively, to extract a lateral feature sequence and a longitudinal feature sequence of the image; fusing the lateral feature sequence and the longitudinal feature sequence to obtain a fused feature; activating the fused feature by using a preset activation function to obtain an image feature; and recognizing an object in the image by decoding the image feature. This solution can improve the efficiency of the object recognition.

A control device sets first points on characters, generates a first frame composed of a first point and first circles, attaches first marks to points at which the first circles intersect characters, detects a range having a largest central angle and no first marks, sets second points on the first circles in the detected region, generates a second frame composed of a second point and second circles, attaches second marks to points at which the second circles intersect characters, sets a direction passing through the center portions of ranges having no second marks and the second point, sets second points arranged in the direction as the same class, calculates an approximate line connecting second points for each class, obtains straight lines indicating a row direction of characters immediately above and below an approximate line, and determines an inclination angle of an image from inclinations of the straight lines.

Apparatus and methods are provided for extracting and displaying information and data from a stream of information on a pair of smart glasses. One or more content filters describing the desired information and data may be communicated to a content filtering module. The content filtering module may process the stream of information to search for the desired information and data. When the desired information is found within the stream of information, the content filtering module may highlight the desired information, while blurring all other information, within a display on the pair of smart glasses.

A character recognition method includes the following operations: determining that the image of character to be identified corresponds to a matching character of several registered characters according to several vector distances to be identified between a vector of an image of character to be identified and several vectors of several registered character images of several registered characters, and storing a matching vector distance between the vector of the image of character to be identified and a vector of the matching character by a processor; and storing a data of the matching character according to the image of character to be identified when the matching vector distance is less than a vector distance threshold by the processor.

The APPARATUSES, METHODS AND SYSTEMS FOR A VIDEO REMOTE DEPOSIT CAPTURE PLATFORM (hereinafter RDC-Video) provides a platform for remote deposit by obtaining images of a check from streaming video captured by a video camera, wherein the RDC-Video transforms captured check images and/or entered check deposit information inputs via RDC-Video components into deposit confirmation outputs. For example, in one embodiment, a user may employ a personal computer connected to a web camera, and/or a smartphone with a built-in camera to initiate the remote deposit by holding a check in front of the camera, and the RDC-Video may capture images of the check and send them to a financial institution for deposit processing.

According to one embodiment, a reading system includes an extractor, a determiner, and a reader. The extractor extracts a candidate image from an input image. The candidate image is a candidate of a portion of the input image in which a segment display is imaged. The determiner uses the candidate image and a mask to calculate a match ratio indicating a certainty of a segment display being included in the candidate image, and determines that the candidate image is an image of a segment display when the match ratio is not less than a threshold. The mask and the threshold are preset. The reader reads a numerical value displayed in a segment display from the candidate image determined to be an image of a segment display.