Abstract: A system and method for automatically determining a set of default settings (with respect to a blank image) so that a uniform and high contrast image results when, for example, a finger is present on a sensor device. A background noise image and other diagnostic data, such as non-functional areas, are also automatically determined with respect to the blank image and stored for future reference. The above processing is performed each time the sensor device is initialized. Once the initialization process is complete, the individual places the required biometric feature, for example, a finger on the sensor device. The methodology adjusts the set of default settings to account for the condition of the biometric feature being imaged by increasing or decreasing the sensitivity level of the sensor device. The determination of optimum sets is achieved by analyzing specific regions of the image data rather than the entire image.

Abstract: An electronic library which comprises a user interface such as a computer screen, a speaker, a mouse and/or a keyboard; a processor for handling communication with the user and for responding to user requests; and a data store. The data store maintains scanned segments of video data, audio data, or both, and translated replicas of the scanned segments. Searching for specific data is performed by perusing through the translated replicas, but the information that is provided to the user is primarily the scanned segments themselves. The translated versions contain the immediately translatable version of the displayable information and processed information that forms various aggregations of the displayable information. This processing imposes a syntactically logical structure on the displayable information.

Abstract: A method for improved thinning or skeletonizing handwritten characters or other variable-line-width images. The method scans a template set over the image to be thinned. Each template has a specific arrangement of dark and light pixels. At least one of those templates includes either more than three pixels per row or more than three rows of pixels. An odd number is good choice. Moreover, the templates are chosen so that each template can unconditionally delete image pixels without consideration of the effect of such deletions on the behavior of the other templates. Thus the templates are independent of each other.