Ninth International Workshop on Frontiers in Handwriting Recognition (2004)
Kokubunji, Tokyo, Japan
Oct. 26, 2004 to Oct. 29, 2004
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IWFHR.2004.83
Masaki Nakagawa , Tokyo University of Agriculture and Technology
Takao Kobayashi , 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.
Masaki Nakagawa, Takao Kobayashi, "Pattern Recognition by Distributed Coding: Test and Analysis of the Power Space Similarity Method", Ninth International Workshop on Frontiers in Handwriting Recognition, vol. 00, no. , pp. 389-394, 2004, doi:10.1109/IWFHR.2004.83