Abstract: Image quality metrics are applied to the entire image within the field of view of a camera associated with a mobile device and are combined with non-image metrics applied to the device to provide a hybrid approach to capturing a quality image that is not dependent upon the check image satisfying a monitoring criterion. When the composite image passes image monitoring criteria and the device passes a non-image criterion, an image may be captured by the camera either manually or automatically. The process may be applied to capture images of both the front and the back of the check, and may be applied to multiple checks. The images may then be submitted for processing for deposit of the check or checks into the user's bank account without the requirement that the user review and approve the image or images of the back of the check or checks.

Abstract: The present invention relates to methods and systems for automated processing of document images using mobile and desktop communications devices. Systems and methods are provided for expediting analysis of the accuracy and quality of captured images by such devices before transmission to a server for processing. The processes use on-device software to provide immediate feedback to the user as to whether the quality of the document photograph is sufficient for processing, without the need for intermediate communication with a server. The processes utilize component labeling, MICR character recognition methods, automatic image rotation, and weighted image scaling. The invention increases speed of processing, reduces rates of rejection, increases processor efficiency, limits memory use, identifies images with likely errors, and provides the opportunity for correction of errors at the earliest possible time.

Abstract: The present invention relates to methods and systems for automated processing of document images using mobile and desktop communications devices. Systems and methods are provided for expediting analysis of the accuracy and quality of captured images by such devices before transmission to a server for processing. The processes use on-device software to provide immediate feedback to the user as to whether the quality of the document photograph is sufficient for processing, without the need for intermediate communication with a server. The processes utilize component labeling, MICR character recognition methods, automatic image rotation, and weighted image scaling. The invention increases speed of processing, reduces rates of rejection, increases processor efficiency, limits memory use, identifies images with likely errors, and provides the opportunity for correction of errors at the earliest possible time.

Abstract: The present invention relates to the automated processing of documents and, more specifically, to methods and systems for aligning, capturing and processing document images using mobile and desktop devices. In accordance with various embodiments, methods and systems for document image alignment, capture, transmission, and verification are provided such that accurate data capture is optimized. These methods and systems may comprise capturing an image on a mobile or stationary device, analyzing images using iterative and weighting procedures, locating the edges or corners of the document, providing geometric correction of document images, converting the color image into a black and white image, transmitting images to a server, and testing the accuracy of the images captured and transmitted.

Abstract: The present invention relates to the automated processing of documents and, more specifically, to methods and systems for aligning, capturing and processing document images using mobile and desktop devices. In accordance with various embodiments, methods and systems for document image alignment, capture, transmission, and verification are provided such that accurate data capture is optimized. These methods and systems may comprise capturing an image on a mobile or stationary device, analyzing images using iterative and weighting procedures, locating the edges or corners of the document, providing geometric correction of document images, converting the color image into a black and white image, transmitting images to a server, and testing the accuracy of the images captured and transmitted.