Referenced Items are not available for this document.
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.
Published in:
Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on
Date of Conference: 26-29 Oct. 2004
- Page(s):
- 389 - 394
- ISSN :
- 1550-5235
- Print ISBN:
- 0-7695-2187-8
- INSPEC Accession Number:
- 8331885
- Digital Object Identifier :
- 10.1109/IWFHR.2004.83
- Product Type:
- Conference Publications
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