Computational Analysis of Handwriting, Character Recognition, and Design of Digital Fonts

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***Over the past decades, we have explored and developed numerous computational****techniques of recognizing different types of patterns, including but not****limited to handwriting in different languages, and human faces of multiple****age groups. This Discovery grant application is related to novel techniques of***discovering new knowledge-based*features, methods of reducing the error rate ***and optimizing the combination of different recognition algorithms, and ***the recognition of characters and words written in English, French, Arabic, and ***other languages. It is aimed at improving our recognition algorithms***using multi-stage multiple classifiers by incorporating the new features ***discovered in our tachistoscope and eye-tracking experiments during the***past years. It will be*focused on an extension of my research in the*following ***new areas in*consultation with experts in graphology and psychology,****and font designers:*******- Extract more detailed distinctive handwriting features, such as the***shapes of characters, the way characters are formed, and peculiarities***of the writing of the individuals, to validate the*correlation between ***handwriting and personality characteristics, which is*a challenging and ***controversial topic in graphology,*and to detect the health conditions of ***the writers, e.g. those with Parkinson and Alzheimer diseases. We believe***our rich experience in handwriting recognition will enable us to bring new***insights to this subject and offer help to graphologists in saving their***time to analyze the handwriting of individuals.******- Apply our character recognition and perceptive techniques to assess****the legibility of the fonts used in the license plates of automobiles and****propose new designs of fonts to facilitate the recognition of the license****plates by image processing and pattern recognition techniques to help***law-enforcement organizations in finding stolen cars, traffic offences,***identification vehicles under different weather conditions and the command***of driverless vehicles.******- Extend our feature extraction techniques, such as the extraction of keypoints***of the characters minted on the coins or printed on banknotes, to detect***fake coins and paper*money, which has become an imminent subject of ***importance affecting the*economy of all countries around the whole world.*******- To conduct intensive experiments on very large sets of data to discover new***ways of helping the social and economic well-being of our society.********