Character recognition — A review

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The machine replication of human reading has been the subject of intensive research for more than three decades. A large number of research papers and reports have already been published on this topic. Many commercial establishments have manufactured recognizers of varying capabilities. Handheld, desk-top, medium-size and large systems costing as high as half a million dollars are available, and are in use for various applications. However, the ultimate goal of developing a reading machine having the same reading capabilities of humans still remains unachieved. So, there still is a great gap between human reading and machine reading capabilities, and a great amount of further effort is required to narrow-down this gap, if not bridge it. This review is organized into six major sections covering a general overview (an introduction), applications of character recognition techniques, methodologies in character recognition, research work in character recognition, some practical OCRs and the conclusions.

论文关键词:Character recognition,Character recognition applications,Statistical approach,Syntactic approach,Descriptive approach,Off-line and On-line character recognition,Template matching,Correlation,Feature analysis and matching,Chinese character recognition,Indian character recognition,Automatic design,Practical OCRs

论文评审过程:Received 9 February 1989, Revised 1 June 1989, Available online 21 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(90)90091-X