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和多个年龄组的人脸。这项发现资助申请涉及 * 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 * 识别用英语、法语、阿拉伯语和其他语言书写的字符和单词。它的目的是改进我们的识别算法 * 使用多阶段多分类器，结合新的功能 * 发现在我们的速示器和眼睛跟踪实验在 * 过去几年。在与笔迹学和心理学专家、字体设计师的磋商中，我的研究将集中在以下新领域：提取更详细的独特的笔迹特征，如字符的形状、字符的形成方式和个人书写的特点，以验证笔迹和个性特征之间的相关性，这是笔迹学中一个具有挑战性和争议性的话题，并检测书写者的健康状况，例如帕金森病和阿尔茨海默病患者。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。应用我们的字符识别和感知技术来评估汽车牌照中使用的字体的易读性，并提出新的字体设计，以便于通过图像处理和模式识别技术来识别汽车牌照，以帮助 * 执法机构发现被盗汽车，交通违法行为，* 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，例如提取硬币上铸造或印刷在钞票上的字符的关键点 *，以检测 * 假硬币和纸币，这已成为影响全球所有国家经济的迫在眉睫的重要课题。对大量数据进行密集实验，以发现新的方法来帮助我们社会的社会和经济福祉。

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