The present invention provides a new image processing device that is robust against a change in capturing conditions. An image processing device 100 has an acquisition unit 110 for acquiring an image, a smoothing unit 120 for smoothing the acquired image with a prescribed smoothing level, a binarization unit 130 for binarizing the smoothed image, and a control unit 140 for making the smoothing unit 120 execute multiple sessions of smoothing differing in the smoothing level.

Provided are an image processing method, apparatus and a storage medium. The method includes: collecting at least one image within a field of view of an image collection device in real time through the image collection device of a terminal device; determining whether a first image includes at least one character based on the collected first image; under a situation that the collected first image includes the character, outputting prompt information to a user; receiving a setting instruction input by the user; and improving sharpness of the character according to the setting instruction to obtain a second image, and compressing and storing the second image.

Systems and methods are provided for assessing whether mobile deposit processing engines meet specified standards for mobile deposit of financial documents. A mobile deposit processing engine (MDE) is evaluated to determine if it can perform technical capabilities for improving the quality of and extracting content from an image of a financial document. A verification process then begins, where the MDE performs the image quality enhancements and text extraction steps on sets of images from a test deck. The results of the processing of the test deck are then evaluated by comparing confidence levels with thresholds to determine if each set of images should be accepted or rejected. Further analysis determines whether any of the sets of images were falsely accepted or rejected in error. An overall error rate is then compared with minimum accuracy criteria, and if the criteria are met, the MDE meets the standard for mobile deposit.

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.

An intelligent scanner device configured to facilitate improved accuracy for storage of scanned documentation. The scanner device may include an image processor, an identification engine, and a metadata engine. The scanner device may utilize artificial intelligence processes to generate metadata information to be stored with scanned documents.

Embodiments of the invention include systems, methods, and computer-program products for providing an internal digital encoding as an overlay of a data element on a resource distribution instrument for blank space correction. The invention identifies a type of resource distribution instrument with blank space or faded spaces and queue it for encoding. In this way, the encoding may be a layer for a user to view the data element to confirm the resource associated with the resource distribution instrument. The encoding may be embedded into the resource distribution instrument and removable upon external transmission.

Systems and methods for automatic enrollment and identity verification based upon processing a captured image of a document are disclosed herein. Various embodiments enable, for example, a user to enroll in a particular service by taking a photograph of a particular document (e.g., his driver license) with a mobile device. One or more algorithms can then extract relevant data from the captured image. The extracted data (e.g., the person's name, gender, date of birth, height, weight, etc.) can then be used to automatically populate various fields of an enrollment application, thereby reducing the amount of information that the user has to manually input into his mobile device in order to complete the enrollment process. In some embodiments, a set of internal and/or external checks can be run against the data to ensure that the data is valid, has been read correctly, and is consistent with other data.

An image processing system comprises a first image processing apparatus and a second image processing apparatus. The first image processing apparatus obtains image data and transmits, to the second image processing apparatus, the obtained image data and information relating to the image data. The second image processing apparatus receives the image data and sets a condition for determining whether the image data is the image data to be processed, and determines whether or not the received image data is the image data to be processed, based on the set condition and the information. The second image processing apparatus executes, when it is determined that the received image data is the image data to be processed, image processing on the image data, based on the information and stores a result of the execution of the image processing.

Systems and methods for automatic enrollment and identity verification based upon processing a captured image of a document are disclosed herein. Various embodiments enable, for example, a user to enroll in a particular service by taking a photograph of a particular document (e.g., his driver license) with a mobile device. One or more algorithms can then extract relevant data from the captured image. The extracted data (e.g., the person's name, gender, date of birth, height, weight, etc.) can then be used to automatically populate various fields of an enrollment application, thereby reducing the amount of information that the user has to manually input into his mobile device in order to complete the enrollment process. In some embodiments, a set of internal and/or external checks can be run against the data to ensure that the data is valid, has been read correctly, and is consistent with other data.

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.