Analysis and recognition of alphanumeric handprints by parts

An advanced hierarchical model has been proposed to produce a more effective character recognizer based on the probability of occurrence of the patterns. New definitions such as crucial parts, efficiency ratios, degree of confusion, similar character pairs, etc. have also been given to facilitate pattern analysis and character recognition. Using these definitions, computer algorithms have been developed to recognize the characters by parts, including halves, quarters, and sixths. The recognition rates have been analyzed and compared with those obtained from subjective experiments. Based on the results of both computer and human experiments, a detailed analysis of the crucial parts and the Canadian standard alphanumeric character set has been made revealing some interesting fundamental characteristics of these handprint models. The results should be useful for pattern analysis and recognition, character understanding, handwriting education, and human-computer communication.<<ETX>>

[1]  S. Impedovo,et al.  Optical Character Recognition - a Survey , 1991, Int. J. Pattern Recognit. Artif. Intell..

[2]  Toyohide Watanabe,et al.  Recognition of Roads in an Urban Map by Using the Topological Road-Network , 1990, MVA.

[3]  Ching Y. Suen,et al.  A generalized knowledge-based system for the recognition of unconstrained handwritten numerals , 1990, IEEE Trans. Syst. Man Cybern..

[4]  Ching Y. Suen,et al.  Distinctive features in automatic recognition of handprinted characters , 1982 .

[5]  Ulric Neisser,et al.  A Note on Human Recognition of Hand-Printed Characters , 1960, Inf. Control..

[6]  Yuan Yan Tang,et al.  Automatic Analysis and Understanding of Documents , 1993, Handbook of Pattern Recognition and Computer Vision.

[7]  Paul A. Kolers,et al.  Clues to a letter's recognition: Implications for the design of characters. , 1969 .

[8]  K Fukushima,et al.  Handwritten alphanumeric character recognition by the neocognitron , 1991, IEEE Trans. Neural Networks.

[9]  Ching Y. Suen,et al.  Building a new generation of handwriting recognition systems , 1993, Pattern Recognit. Lett..

[10]  Jaime López-Krahe,et al.  System for an intelligent office document analysis, recognition and description , 1993, Signal Process..

[11]  V. K. Govindan,et al.  Character recognition - A review , 1990, Pattern Recognit..

[12]  C Y Suen,et al.  Handwriting generation, perception and recognition. , 1983, Acta psychologica.

[13]  Ching Y. Suen,et al.  Computer algorithms for recognizing the distinct parts of handprinted characters , 1991, Conference Proceedings 1991 IEEE International Conference on Systems, Man, and Cybernetics.