Automatic Pattern Recognition System With Self-Learning Algorithm Based On Feature Template Matching

Masato Nakashima; Tetsuo Koezuka; Noriyuki Hiraoka; Takefumi Inagaki

doi:10.1117/12.964164

26 March 1986 Automatic Pattern Recognition System With Self-Learning Algorithm Based On Feature Template Matching

Masato Nakashima, Tetsuo Koezuka, Noriyuki Hiraoka, Takefumi Inagaki

Proceedings Volume 0635, Applications of Artificial Intelligence III; (1986) https://doi.org/10.1117/12.964164
Event: 1986 Technical Symposium Southeast, 1986, Orlando, United States

Abstract

A new self-learning technique has been developed to increase recognition efficiency and improve operability of an automatic pattern recognition system. The new algorithm can automatically make feature templates that emphasize the difference between similar patterns. This algorithm compares all the templates with each other by cross-correlating and picks out similar pattern pairs. The differences between similar patterns are extracted as the feature templates. This system can automatically carry out this procedure for 100 template patterns in 5 minutes.

Citation Download Citation

Masato Nakashima, Tetsuo Koezuka, Noriyuki Hiraoka, and Takefumi Inagaki "Automatic Pattern Recognition System With Self-Learning Algorithm Based On Feature Template Matching", Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); https://doi.org/10.1117/12.964164

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