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

***在过去的几十年里，我们已经探索和开发了许多识别不同类型模式的计算****技术，包括但不限于****不同语言的笔迹，以及多个****年龄组的人脸。这项发现基金申请涉及发现新的基于知识的特征的新技术，降低错误率和优化不同识别算法组合的方法，以及***识别以英语、法语、阿拉伯语和***其他语言书写的字符和单词。它旨在通过结合我们在过去几年中在速视镜和眼动追踪实验中发现的新特征，使用多阶段多分类器来改进我们的识别算法。它将集中于我在以下***新领域的研究的延伸***咨询笔迹学和心理学专家，****和字体设计师：*******-提取更详细的独特笔迹特征，如***字符的形状，字符的形成方式，以及个人写作的独特性***，以验证***笔迹和个性特征之间的***相关性。这在笔迹学中是一个具有挑战性和争议性的话题，以及检测作者的健康状况，例如患有帕金森和阿尔茨海默病的人。我们相信，我们在笔迹识别方面的丰富经验将使我们能够为这一主题带来新的见解，并为笔迹学家节省分析个人笔迹的时间提供帮助。******-运用我们的字符识别和感知技术，评估****汽车牌照字体的易读性，并****提出新的字体设计，以方便通过图像处理和模式识别技术识别****牌照，以帮助***执法机构查找被盗车辆、交通违章、不同天气条件下的***识别车辆和无人驾驶车辆的指挥***。******-扩展我们的特征提取技术，如提取关键点上铸造的硬币或印刷在钞票上的字符，以检测***假硬币和纸币，这已成为一个迫在眉睫的主题***重要性影响**世界各地所有国家的经济。*******-在非常大的数据集上进行密集的实验，以发现帮助我们社会的社会和经济福祉的新方法。********

***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.********