A data generation apparatus includes: a separation unit that separates a serial number region and a background region from an original image of a paper currency that includes a serial number; a character image acquisition unit that identifies each of characters included in the separated serial number region, and acquires a character image of each of the identified characters; a background image acquisition unit that acquires a background image by complementing the serial number region in the separated background region; a pre-processing unit that generates a serial number image by combining the character images; an incorporation unit that incorporates the serial number image at a position corresponding to the serial number image in the background image; and an output unit that outputs image data in which the serial number that is combined by the pre-processing unit is associated with an incorporated image generated by the incorporation unit.

A data generation apparatus includes: a separation unit that separates a serial number region and a background region from an original image of a paper currency that includes a serial number; a character image acquisition unit that identifies each of characters included in the separated serial number region, and acquires a character image of each of the identified characters; a background image acquisition unit that acquires a background image by complementing the serial number region in the separated background region; a pre-processing unit that generates a serial number image by combining the character images; an incorporation unit that incorporates the serial number image at a position corresponding to the serial number image in the background image; and an output unit that outputs image data in which the serial number that is combined by the pre-processing unit is associated with an incorporated image generated by the incorporation unit.

Remote deposit of checks can be facilitated by a financial institution. A customer's general purpose computer and image capture device may be leveraged to capture an image of a check and deliver the image to financial institution electronics. Additional data for the transaction may be collected as necessary. The transaction can be automatically accomplished utilizing the images and data thus acquired.

A method and a system of detecting at least one sample in a sample container, comprising a sample container, further comprising a cavity, the volume of said cavity partially or fully occupied with at least one solid sample and at least one fluid; and at least one camera capturing at least one image of the sample container; and a data processing device detecting at least one sample in the sample container by processing the at least one image captured by the at least one camera. The method and system further comprise putting the sample container in sudden motion prior to the at least one camera capturing at least one image of the sample container.

An example non-transitory computer-readable medium includes instructions executable by a processor to detect boundaries of a representation of a document page in a captured image, model the boundaries of the representation of the document page as nonlinear curves, use the nonlinear curves to transform pixels of the representation of the document page into pixels of a dewarped representation of the document page, and output a dewarped image based on the dewarped representation of the document page.

An information processing apparatus includes a processor configured to output information on first software, and output information on second software executing a process to be performed before or after a process executed by the first software, in a form associated with the information on the first software.

Disclosed in the present disclosure are an object recognition processing method, a processing apparatus, an electronic device, and a non-transitory computer-readable storage medium. The method includes: obtaining an object to be recognized; recognizing a type of said object on the basis of a type recognition model; determining a processing rule corresponding to said object; in response to the fact that the type of said object is a basic type, taking said object as a target object to be recognized, and in response to the fact that the type of said object is a non-basic type, transforming said object by means of a transformer learning model, so as to transform said object into the target object to be recognized; and performing, by means of the transformer learning model, recognition processing on the target object to be recognized to obtain a target result corresponding to the target object to be recognized.

Disclosed in the present disclosure are an object recognition processing method, a processing apparatus, an electronic device, and a non-transitory computer-readable storage medium. The method includes: obtaining an object to be recognized; recognizing a type of said object on the basis of a type recognition model; determining a processing rule corresponding to said object; in response to the fact that the type of said object is a basic type, taking said object as a target object to be recognized, and in response to the fact that the type of said object is a non-basic type, transforming said object by means of a transformer learning model, so as to transform said object into the target object to be recognized; and performing, by means of the transformer learning model, recognition processing on the target object to be recognized to obtain a target result corresponding to the target object to be recognized.

In the context of a co-browse session, one of the participants elects to include a screenshare task in which a screenshare of a browser window displaying a website will be provided to other participants of the co-browse session. When the screenshare task is started, a location of an address bar of the web browser is identified, optional pre-processing is applied to the image of the address bar, and a character recognition process, is used to determine the characters of the URL in the browser's address bar. The URL is compared with a list of allowed website URLs, and the screenshare session is selectively allowed only if the URL is contained in the list of allowed URLs. Once the URL has been approved, a slice of pixels the address bar is obtained and monitored for changes to the pixels that may indicate a change to the URL.

An image processing method, an image processing device, an electronic device, and a storage medium are provided. The image processing method includes: obtaining an input image, wherein the input image includes M character rows; performing global correction processing on the input image to obtain an intermediate corrected image; determining the M character row lower boundaries; determining the relative offset of all pixels in the intermediate corrected image according to the M character row lower boundaries, the first image boundary and the second image boundary of the intermediate corrected image; determining the local adjustment offset of all pixels in the intermediate corrected image according to the relative offsets of all pixels in the intermediate corrected image; and performing local adjustment on the intermediate corrected image according to the local adjustment offsets of all pixels in the intermediate corrected image to obtain the target corrected image.