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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Pattern Recognition by Distributed Coding: Test and Analysis of the Power Space Similarity Method
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
Takao Kobayashi, Tokyo University of Agriculture and Technology
Masaki Nakagawa, Tokyo University of Agriculture and Technology
This paper considers pattern recognition methods using distributed coding. These methods permit rapid learning from a large number of training samples; their recognition speed is high regardless of the size of the learning samples. This paper presents both basic algorithm and extended algorithms. Experiments with a large database of off-line handwritten numeric patterns are then described using the power space similarity method, being a type of distributed coding. Finally the effectiveness of the technique is considered.
Citation:
Takao Kobayashi, Masaki Nakagawa, "Pattern Recognition by Distributed Coding: Test and Analysis of the Power Space Similarity Method," iwfhr, pp.389-394, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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