Error Reduction in Handwriting Recognition

减少手写识别错误

• 批准号: 8989-2012
• 负责人: Suen, Ching
• 金额: $ 2.48万
• 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: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=508341
• 关键词: Error; Reduction; Handwriting; Recognition

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:

该计划的目的是进行先进的研究，在计算机识别手写字符，单词和符号。手写体是模式识别领域中最具挑战性的课题之一，因为字符的形状和性质是无限多样的。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、准确地阅读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、档案文件和其他业务表格，每周要花费数十亿美元将这些文件中的手写数据手动输入计算机。基于多年的经验（a）在这一领域发挥主导作用，并不断与世界各地的杰出科学家和工业研究人员互动，（B）指导了许多研究生，博士后研究员和访问科学家，申请人提出以下计划：