In an approach for guiding a visually impaired user to position a mobile device appropriately in relation to a screen so that dynamic information on the screen can be reliably extracted and conveyed to the visually impaired user, a processor receives an image captured by a camera of a mobile device. A processor performs object recognition on the image to identify a digital screen and a location of the digital screen in the image. A processor retrieves a template of the digital screen. A processor performs angle-sensitive optical character recognition (OCR) on the location of the digital screen in the image. Responsive to a processor determining text on the digital screen can be extracted, a processor conveys the text to a user. Responsive to a processor determining text on the digital screen cannot be extracted, a processor guides the user to re-orient the mobile device to capture a better image.

Provided is an image processing apparatus that improves the performance when performing image processing accompanying an analysis. An image acquisition unit acquires processing image data for performing processing. A normal image processing unit performs normal image processing for normal output on the processing image data acquired by the image acquisition unit and outputs the normal image data. An analysis image processing unit performs analysis image processing accompanied by analysis in parallel with the normal image processing by the normal image processing unit and outputs the analysis image data. A merge processing unit merges the normal image data output by the normal image processing unit and the analysis image data output by the analysis image processing unit and outputs print data for printing.

A computer-implemented method (300) for extracting content (302) from a physical writing surface (304), the method (300) comprising the steps of:

(a) receiving a reference frame (306) including image data relating to at least a portion of the physical writing surface (304), the image data including a set of data points;

(b) determining an extraction region (308), the extraction region (308) including a subset of the set of data points from which content (302) is to be extracted;

(c) extracting content (302) from the extraction region (308) and writing the content (302) to a display frame (394);

(d) receiving a subsequent frame (406) including subsequent image data relating to at least a portion of the physical writing surface (304), the subsequent image data including a subsequent set of data points;

(e) determining a subsequent extraction region (408), the subsequent extraction region (408) including a subset of the subsequent set of data points from which content (402) is to be extracted; and

(f) extracting subsequent content (402) from the subsequent extraction region (408) and writing the subsequent content (402) to the display frame (394).

An image forming apparatus, a scanned image correction method of an image forming apparatus, and a non-transitory computer-readable recording medium are provided. The image forming apparatus includes a scan unit to scan a document to generate a scanned image and a processor to detect a skew angle of the scanned image, determine a reference point on the basis of a position of a content in the scanned image, and rotate the scanned image around the determined reference point to correct the skew angle.

In an approach for guiding a visually impaired user to position a mobile device appropriately in relation to a screen so that dynamic information on the screen can be reliably extracted and conveyed to the visually impaired user, a processor receives an image captured by a camera of a mobile device. A processor performs object recognition on the image to identify a digital screen and a location of the digital screen in the image. A processor retrieves a template of the digital screen. A processor performs angle-sensitive optical character recognition (OCR) on the location of the digital screen in the image. Responsive to a processor determining text on the digital screen can be extracted, a processor conveys the text to a user. Responsive to a processor determining text on the digital screen cannot be extracted, a processor guides the user to re-orient the mobile device to capture a better image.

Systems and methods for using a mobile device to submit an application for an insurance policy using images of documents captured by the mobile device are provided herein. The information is then used by an insurance company to generate a quote which is then displayed to the user on the mobile device. A user captures images of one or more documents containing information needed to complete an insurance application, after which the information on the documents is extracted and sent to the insurance company where a quote for the insurance policy can be developed. The quote can then be transmitted back to the user. Applications on the mobile device are configured to capture images of the documents needed for an insurance application, such as a driver's license, insurance information card or a vehicle identification number (VIN). The images are then processed to extract the information needed for the insurance application.

The disclosure provides an answer correction method and a device, including: determining the target test paper that matches the test paper to be corrected; marking the area of each answer in the test paper to be corrected as the first answer set, and marking the area of each answer in the target test paper as the second answer set; matching each answer area in the first answer set and the second answer set, and adjusting the position of the answer area in the first answer set on the test paper to be corrected; for each answer area in the second answer set, determining the target answer area in the first answer set according to the position information of the answer area on the target test paper, and correcting the answer in the determined target answer area according to the answer in the answer area. The disclosure can solve the problem in the related art that the accurate position of the answer filled by the student cannot be identified, thereby affecting the correction of the answer.

An image processing apparatus includes a character determining unit configured to divide the read image into multiple blocks, each of the multiple blocks including multiple characters, and determine an inclination of each of the multiple characters included in each of the multiple blocks, a block processing unit configured to detect a change point block, the change point block being a block including characters having an inclination included in a first inclination interval, a number of the characters being equal to or larger than a first threshold, and including characters having an inclination included in a second inclination interval, a number of the characters being equal to or larger than the first threshold, the second inclination interval being different from the first inclination interval, and a fold determining unit configured to determine that the document is folded if the change point block is detected.

The present subject matter is related in general to the field of image processing, disclosing method and system for evaluating an image quality for Optical Character Recognition (OCR) Image evaluation system receives image comprising optical character data. The image evaluation system determines image parameter value for each of one or more image parameters of the image. The image parameter value for each of the one or more image parameters is determined for plurality of binary image segments identified in the image. The image evaluation system determines suitability value and impact value of the image, based on the image parameter value for each of the image parameters determined for the image. The image evaluation system determines quality score for the image, based on the suitability value and the impact value. The image is transmitted for processing before the OCR, upon determining the quality score to be above overall pre-defined threshold value.

An information processing apparatus includes a receiver that receives an input image to be recognized and a processor configured to, by executing a program, align the input image with a template image in such a way as to match a recognition area of the input image and a recognition area defined on the template image, perform a process for recognizing the recognition area of the aligned input image, generate a check image including the template image and the aligned input image, and display the check image and a result of the process for recognizing the recognition area of the aligned input image such that a correspondence between the check image and the result is recognizable.