In some implementations, a device may receive print data associated with a printer. The device may receive an image that depicts content that is printed on media by the printer. The device may determine, using a printhead analysis model, a status of a printhead of the printer based on the print data and a characteristic of the content, wherein the printhead analysis model is trained based on reference data associated with historical printing operations associated with one or more printers, wherein the reference data includes reference images associated with printed content from the historical printing operations and corresponding resistance measurements for one or more respective printheads of the one or more printers. The device may perform, based on the status, an action associated with the printhead of the printer.

Disclosed is a method of classifying a document for a straight-through processing (STP) using memory enabled modelling. The method includes receiving, performing a content extraction from the input image, and selecting a template with the highest matching probability from a database. The method further includes postprocessing the extracted content based on the predicted template and validating the extracted content. Thereafter, the method includes classifying the document for the STP if the extracted content is successfully validated corresponding to each of the image quality validation, the refined content extraction validation, and the layout validation.

An information processing system includes circuitry. The circuitry acquires a captured image by capturing a document. The circuitry performs an analysis process using the captured image. The circuitry selects, for each of at least one setting item of a plurality of setting items relating to image processing to be performed on the captured image, at least one setting value from among configurable setting values as a candidate for a recommended setting. The circuitry performs image processing repeatedly on the captured image while changing setting values of the plurality of setting items with a setting value of the at least one setting item restricted to the at least one setting value selected as the candidate for the recommended setting. The circuitry determines recommended settings for the plurality of setting items relating to image processing to obtain an image suitable for character recognition.

Video frames of a document are captured. A still image of the document is optimally automatically taken after the video frames have been recorded. The best image from the frames and the still image is determined. The best image is provided for OCR processing to derive document information represented in the best image for the document.

There is disclosed a method of analyzing a digital image of a document (to determine, as example, a document suitability for server-based OCR processing) in a computer system that includes a user electronic device (for acquiring or storing a digital image of a document) connectable to a server (for executing the server-based OCR processing of the digital image to create a recognized-text document). The method is executable by the user electronic device and comprises: acquiring the digital image of the document; analyzing an OCR quality parameter associated with a compressed digital image to be created from the digital image using a compression algorithm and a compression parameter; in response to the OCR quality parameter being above or equal to a pre-determined threshold: transmitting the compressed digital image to the server. Optionally, the method further comprises compressing the digital image using the compression algorithm and the compression parameter to create the compressed digital image before transmission thereof.

Systems, methods, devices and computer readable media for determining a geographical location of a license plate are described herein. A first image of a license plate is acquired by a first image acquisition device of a camera unit and a second image of the license plate is acquired by a second image acquisition device of the camera unit. A three-dimensional position of the license plate relative to the camera unit is determined based on stereoscopic image processing of the first image and the second image. A geographical location of the camera unit is obtained. A geographical location of the license plate is determined from the three-dimensional position of the license plate relative to the camera unit and the geographical location of the camera unit. Other systems, methods, devices and computer readable media for detecting a license plate and identifying a license plate are described herein.

A method and a system for digitization of a document are disclosed. The document is scanned to generate an electronic document. One or more characters in a first set of portions of the electronic document are identified, based on a character recognition technique. Each portion in the first set of portions is classified in one or more groups based on at least a status of identification of the corresponding one or more characters. Further, one or more tasks are created for each of the one or more groups. The one or more tasks are transmitted to one or more crowdworkers, based at least on the respective type of the one or more tasks. Further, a response for each of the one or more tasks is received. Based on the received response, a digitized document is generated.

In the case where a character on an object is read by using a mobile terminal having a camera function, an image suitable to OCR is acquired in a short time. An information processing apparatus including a camera, which acquires a moving image by capturing a character string on an object by the camera, sets, for each frame making up the acquired moving image, a search area for character recognition for each character making up the character string, detects a candidate character from the search area, determines whether an evaluation value indicating likelihood of the detected candidate character is stable, and outputs a frame of the acquired moving image in response to the evaluation value is determined to be stable.

A method is provided for providing automated testing of an Optical Character Recognition (OCR) system. An automated testing framework may convert original text files to images of various formats and resolutions. The images may comprise various fonts and layouts according to a document type. The images may be processed by the OCR system to generate a converted text file. Converted text files may be compared to original text files and an OCR accuracy score may be calculated.

A mobile terminal includes a memory and a processor coupled to the memory, wherein the processor executes a process including acquiring a frame acquired by image capturing, detecting document position data of a document from the frame, determining a document type of the document, calculating image quality of document image data of the document on the basis of the document position data and the document type, determining whether the image quality is at a character recognizable level, and acquiring a frame acquired by the image recapturing when it is determined that the image quality is not at the character recognizable level.