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

手写计算分析、字符识别和数字字体设计

• 批准号: RGPIN-2019-07005
• 负责人: Suen, Ching
• 金额: $ 3.5万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=739253
• 关键词: Computational; Analysis; Handwriting; Character; Recognition

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.

在过去的几十年里，我们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手写体和多个年龄段的人脸。 该发现资助申请涉及发现基于知识的新特征的新技术、降低错误率和优化不同识别算法组合的方法，以及用英语、法语、阿拉伯语和其他语言书写的字符和单词的识别。 它的目的是通过结合过去几年我们在速度镜和眼动追踪实验中发现的新功能，改进我们使用多级多个分类器的识别算法。它将与笔迹学和心理学专家以及字体设计师协商，重点将我的研究扩展到以下新领域： - 提取更详细的独特笔迹特征，例如字符的形状、字符的形成方式以及个人的书写特点，以验证笔迹与性格特征之间的相关性（这是笔迹学中具有挑战性和争议性的话题），并检测人们的健康状况 作家，例如患有帕金森病和阿尔茨海默病的人。我们相信，我们在手写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，并帮助笔迹学家节省分析个人笔迹的时间。 - 应用我们的字符识别和感知技术来评估汽车牌照字体的易读性，并提出新的字体设计，以通过图像处理和模式识别技术促进车牌识别，以帮助执法机构寻找被盗汽车、交通违法行为、不同天气条件下的车辆识别以及无人驾驶车辆的指挥。 - 扩展我们的特征提取技术，例如提取铸造在硬币上或印在纸币上的字符的关键点，以检测假硬币和纸币，这已成为影响全世界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，以发现帮助我们社会的社会和经济福祉的新方法。