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  • 标题:Review of Online & Offline Character Recognition
  • 本地全文:下载
  • 作者:Dalbir ; Sanjiv Kumar Singh
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2015
  • 卷号:4
  • 期号:5
  • 页码:11729-11732
  • 出版社:IJECS
  • 摘要:Image pre-processing tool, created in Matlab, realizes many brightness transformations and local pre-processing methods.The proposed solutions focus on applying Neural Network Algorithm model for character recognition. The primary function of which isto retrieve in a character stored in memory, when an incomplete or noisy version of that character is presented. The idea is to create atheoretical and practical basis of preprocessing for character recognition using forward-feed neural networks. The Feed ForwardAlgorithm gives insight into the enter workings of a neural network; followed by the Back Propagation Algorithm which compromisesTraining and Testing. Character recognition is one of the most interesting and challenging research areas in the field of Imageprocessing. English character recognition has been extensively studied in the last half century. Nowadays different methodologies are inwidespread use for character recognition. Document verification, digital library, reading bank deposit slips, reading postal addresses,extracting information from cheques, data entry, applications for credit cards, health insurance, loans, tax forms etc. are applicationareas of digital document processing.
  • 关键词:Offline character recognition; Thresholding; binarization; Classification; OCR; On-line Character Recognition.
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