Microprocessor-based recognition of handprinted characters from a tablet input

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摘要

This paper describes a highly efficient system for the recognition of handprinted English characters using a tablet-based input (mouse, graphics tablet, light pen, etc.). A major system constraint was the limiting of computational/storage resources to an 8-bit microprocessor using integer arithmetic only and no more than 32 kbyte of combined RAM/ROM. A hierarchical control structure exploits character/stroke features of varying degrees of complexity to achieve this efficiency. A binary decision tree uses simple features to rapidly reduce the set of candidate characters to a very small set. More complex features are used on a need-only basis to verify the correctness of a potential match. A top level character parser allows input of either a single character or a sequence of distinct characters.

论文关键词:Handprinted character recognition,Tablet input,Chain code,Binary tree,Corner detection,Microprocessor-based

论文评审过程:Received 23 October 1987, Revised 28 January 1988, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(88)90011-8