Abstract: A method for generating architectural design requirements for a building structure is disclosed. A schematic drawing file of the building structure is loaded. The building type for the building structure is designated. A topology mask identifying the functional zones demarcated by the schematic drawing is created over the schematic drawing. Architectural design standards that are specific to the building type designated are applied to each of the identified functional zones to generate the architectural design requirements for the building structure. The architectural design standards being stored in a relational database.

Abstract: A method for recognizing handwritten Arabic character strings is disclosed. The handwritten Arabic character string is extracted. The handwritten Arabic character string is converted into a representative character string graph. Common embedded isomorphic graphs of the representative character string graph are extracted. A character string match is identified from each of the respective common embedded isomorphic graphs extracted using a data structure associated with each of the respective common embedded isomorphic graphs and a set of geometric measurements unique to the handwritten Arabic character string.

Abstract: A method for recognizing a character string on a static document is disclosed. The character string is extracted from the static document. The character string is converted into a representative character string graph. The common embedded isomorphic graphs are extracted from the representative character string graph. Each of the common embedded isomorphic graphs extracted are converted into digital ink files. The character string associated with each of the digital ink files are identified using a dynamic recognition system.

Abstract: A biometric handwriting identification system converts characters and a writing sample into mathematical graphs. The graphs comprise enough information to capture the features of handwriting that are unique to each individual. Optical character recognition (OCR) techniques can then be used to identify these features in the handwriting sample so that drafts from two different samples can be aligned to compare to determine if the features in the writing sample correlate with each other.

Abstract: A detection and tracking method that enables an objective determination of changes in handwriting with the passage of time and progress of medical conditions which affect fine motor skills. Specifically, a detection and tracking method which precisely describes a handwriting sample as a plurality of features which become indicators of a medical disorder affecting fine motor skills. The indicators are obtained and characterized using analytical and statistical techniques resulting in the development of diagnostic tools for detection and management of that disorder.

Abstract: An image recognition system includes a method and apparatus in which images are characterized and compared on the basis of internal structure, which is independent of image size and image orientation. A library of reference images is first generated and stored, then each input image, or test image, is compared to the images stored in the library until a match is found. The image is represented in memory as nodes, lines, and curves. A plurality of descriptors, called reference keys and reference series, are generated for both the reference images and the test image. The reference library is screened for likely matches by comparing the descriptors for the test image to the descriptors in the reference images in the library. Inclusionary and exclusionary tests are performed. After screening, the each of candidate reference images is searched by comparing the pathway thorough the reference image and the pathway through the test image, and by the degree of correlation between the reference and test images.