Error Reduction in Handwriting Recognition

该计划的目标是在手写字符、单词和符号的计算机识别方面进行高级研究。笔迹是模式识别领域中最具挑战性的课题之一，因为笔迹的形状和性质千差万别。这项研究的目的是提高计算机的智能和能力，使它们能够高速、准确地读取写在各种文件上的信息。这些文件包括银行支票、公用事业和付款单、信封、所得税申报表、海关申报单、档案文件和其他商业表格，每周要花费数十亿美元将这些文件中的手写数据手工输入计算机。基于本人多年来在该领域的领导作用和与世界各地著名科学家和产业研究人员的不断互动，以及指导了众多研究生、博士后和访问科学家的经验，申请人提出以下计划：

The objective of this program is to conduct advanced research in computer recognition of handwritten characters, words, and symbols. Handwriting is one of the most challenging subjects in the field of pattern recognition due to the infinite varieties of character shapes and qualities. This research aims to increase the intelligence and capability of computers so that they can read, at high speed and with great accuracy, the information written on various types of documents. These documents include bank cheques, utility and payment slips, envelopes, income tax returns, customs declarations, archival documents, and other business forms where billions of dollars are being spent each week to manually enter the handwritten data from the documents into the computer. Based on many years of experience in (a) playing a lead role in this field and constantly interacting with prominent scientists and industrial researchers around the world, and (b) having guided many graduate students, post-doctoral fellows, and visiting scientists, the applicant proposes the following program: