Abstract: A system and method for comparing digital images, such as checks images used by banks, includes receiving and processing the images to be compared, including scaling the images to a common resolution, as well as filtering them to remove spot noise, background pels, and other non-information carrying elements. One or more regions of each image are selected for comparison. The selected regions are compared to one another by subtracting the pels of one image from the other's pels. A determination is made of whether the two or more images are duplicates of one another, or depict a substantially identical subject, based on the results of the subtractions. Furthermore, the amount of filtering and scaling may be adjusted to enhance the effects of the system to take advantage of common characteristics that may be known or detected in a particular set of images to be compared.

Abstract: A system and method for comparing digital images, such as checks images used by banks, includes receiving and processing the images to be compared, including scaling the images to a common resolution, as well as filtering them to remove spot noise, background pels, and other non-information carrying elements. One or more regions of each image are selected for comparison. The selected regions are compared to one another by subtracting the pels of one image from the other's pels. A determination is made of whether the two or more images are duplicates of one another, or depict a substantially identical subject, based on the results of the subtractions. Furthermore, the amount of filtering and scaling may be adjusted to enhance the effects of the system to take advantage of common characteristics that may be known or detected in a particular set of images to be compared.

Abstract: A system and method for comparing digital images, such as checks images used by banks, includes receiving and processing the images to be compared, including scaling the images to a common resolution, as well as filtering them to remove spot noise, background pels, and other non-information carrying elements. One or more regions of each image are selected for comparison. The selected regions are compared to one another by subtracting the pels of one image from the other's pels. A determination is made of whether the two or more images are duplicates of one another, or depict a substantially identical subject, based on the results of the subtractions. Furthermore, the amount of filtering and scaling may be adjusted to enhance the effects of the system to take advantage of common characteristics that may be known or detected in a particular set of images to be compared.

Abstract: A system and method for comparing digital images, such as checks images used by banks, includes receiving and processing the images to be compared, including scaling the images to a common resolution, as well as filtering them to remove spot noise, background pels, and other non-information carrying elements. One or more regions of each image are selected for comparison. The selected regions are compared to one another by subtracting the pels of one image from the other's pels. A determination is made of whether the two or more images are duplicates of one another, or depict a substantially identical subject, based on the results of the subtractions. Furthermore, the amount of filtering and scaling may be adjusted to enhance the effects of the system to take advantage of common characteristics that may be known or detected in a particular set of images to be compared.

Abstract: A system and method for comparing digital images, such as checks images used by banks, includes receiving and processing the images to be compared, including scaling the images to a common resolution, as well as filtering them to remove spot noise, background pels, and other non-information carrying elements. One or more regions of each image are selected for comparison. The selected regions are compared to one another by subtracting the pels of one image from the other's pels. A determination is made of whether the two or more images are duplicates of one another, or depict a substantially identical subject, based on the results of the subtractions. Furthermore, the amount of filtering and scaling may be adjusted to enhance the effects of the system to take advantage of common characteristics that may be known or detected in a particular set of images to be compared.

Abstract: A system and method for comparing digital images, such as checks images used by banks, includes receiving and processing the images to be compared, including scaling the images to a common resolution, as well as filtering them to remove spot noise, background pels, and other non-information carrying elements. One or more regions of each image are selected for comparison. The selected regions are compared to one another by subtracting the pels of one image from the other's pels. A determination is made of whether the two or more images are duplicates of one another, or depict a substantially identical subject, based on the results of the subtractions. Furthermore, the amount of filtering and scaling may be adjusted to enhance the effects of the system to take advantage of common characteristics that may be known or detected in a particular set of images to be compared.

Abstract: A system and method for applying an endorsement to an electronic image of a bank check. A system is described that includes: an imaging system for generating an endorsement image representing an action taken relative to processing the bank check; a halftone system for converting the endorsement image into a digitally halftoned endorsement image; and a positioning system for placing the digitally halftoned endorsement image onto the electronic image of the bank check.

Abstract: A gray scale image cleaning algorithm for improved check code line OCR. An image processing system for processing a gray scale image is provided that includes: a system for generating a first thresholded black white image from the gray scale image; a system for generating a second thresholded black white image from the gray scale image, wherein the second thresholded black white image is generated with a higher threshold value than the first thresholded black white image; and a system for logically combining the first and second thresholded black white images to generate a composite image.

Abstract: A system and method for applying an endorsement to an electronic image of a bank check. A system is described that includes: an imaging system for generating an endorsement image representing an action taken relative to processing the bank check; a halftone system for converting the endorsement image into a digitally halftoned endorsement image; and a positioning system for placing the digitally halftoned endorsement image onto the electronic image of the bank check.

Abstract: A system and method for applying an endorsement to an electronic image of a bank check. A system is described that includes: an imaging system for generating an endorsement image representing an action taken relative to processing the bank check; a halftone system for converting the endorsement image into a digitally halftoned endorsement image; and a positioning system for placing the digitally halftoned endorsement image onto the electronic image of the bank check.

Abstract: A document processing system and method for using image quality to sort documents. The document processing system comprises: a document sorting system that designates a destination pocket for each document based on data gathered from each document; a document imaging system that captures an image of each document; and an image quality analysis system that analyzes each image and causes any document having an unacceptable image to be redirected to an unacceptable destination pocket.

Abstract: A document processing system and method for using image quality to sort documents. The document processing system comprises: a document sorting system that designates a destination pocket for each document based on data gathered from each document; a document imaging system that captures an image of each document; and an image quality analysis system that analyzes each image and causes any document having an unacceptable image to be redirected to an unacceptable destination pocket.

Abstract: A system and method for adaptive and predictive analysis of sensor readings to track documents in a document processing system. The system comprises: a plurality of sensors for sensing a document, wherein each sensor includes an associated filtering system for filtering sensor readings, and a performance tracking system for collecting performance data; and a control system that and adjusts filtering characteristics of the filtering system based on the collected performance data. In addition, a correlation system is provided for using data from at least one upstream sensor to interpret an ambiguous downstream sensor signal.

Abstract: A gray scale image cleaning algorithm for improved check code line OCR. An image processing system for processing a gray scale image is provided that includes: a system for generating a first thresholded black white image from the gray scale image; a system for generating a second thresholded black white image from the gray scale image, wherein the second thresholded black white image is generated with a higher threshold value than the first thresholded black white image; and a system for logically combining the first and second thresholded black white images to generate a composite image.

Abstract: A system for determining the image resolution of a check image using MICR characters. The disclosed system includes an extracting system for extracting a magnetic ink code recognition (MICR) code line from the document image, wherein the extracting system provides coordinate values for each of a plurality of MICR characters in the MICR code line; a calculating system for calculating a set of resolution values based on the coordinate values of the MICR characters; and a statistical analysis system that calculates a representative resolution value from the set of resolution values.

Abstract: A gray scale image cleaning algorithm for improved check code line OCR. An image processing system for processing a gray scale image is provided that includes: a system for generating a first thresholded black white image from the gray scale image; a system for generating a second thresholded black white image from the gray scale image, wherein the second thresholded black white image is generated with a higher threshold value than the first thresholded black white image; and a system for logically combining the first and second thresholded black white images to generate a composite image.

Abstract: A document processing system and method for using image quality to sort documents. The document processing system comprises: a document sorting system that designates a destination pocket for each document based on data gathered from each document; a document imaging system that captures an image of each document; and an image quality analysis system that analyzes each image and causes any document having an unacceptable image to be redirected to an unacceptable destination pocket.

Abstract: A document processing system and method for using image quality to sort documents. The document processing system comprises: a document sorting system that designates a destination pocket for each document based on data gathered from each document; a document imaging system that captures an image of each document; and an image quality analysis system that analyzes each image and causes any document having an unacceptable image to be redirected to an unacceptable destination pocket.

Abstract: A system for determining the image resolution of a check image using MICR characters. The disclosed system includes an extracting system for extracting a magnetic ink code recognition (MICR) code line from the document image, wherein the extracting system provides coordinate values for each of a plurality of MICR characters in the MICR code line; a calculating system for calculating a set of resolution values based on the coordinate values of the MICR characters; and a statistical analysis system that calculates a representative resolution value from the set of resolution values.

Abstract: A document processing system and method for using image quality to sort documents. The document processing system comprises: a document sorting system that designates a destination pocket for each document based on data gathered from each document; a document imaging system that captures an image of each document; and an image quality analysis system that analyzes each image and causes any document having an unacceptable image to be redirected to an unacceptable destination pocket.