Recognition of handprinted characters by an outermost point method

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摘要

A recognition system for handprinted characters has been developed for reading sets of characters consisting of a mixture of numerical, alphabetic and Japanese “katakana” characters, a total of 82 symbols.This paper describes a simple convex hull method used for extracting concavity and convexity. The convex hull is constructed by finding the outermost points through tracing the contours of a character. When this system was applied to data consisting of 16,400 characters, a very high level of performance was achieved. The system also automatically compiles a dictionary.

论文关键词:Background,Concavity,Convex hull,Handprinted,Learning,Katakana,Outermost-point,Recognition,Structural

论文评审过程:Received 18 October 1979, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(80)90062-X