In this paper, a fuzzy rule-based system for handwritten Chinese characters recognition (HCCR) based on radical extraction is proposed. Since the writings of handwritten Chinese characters vary a lot, we adopt fuzzy set theory to deal with the recognition of these fuzzy patterns. Candidates of strok
โฆ LIBER โฆ
Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters
โ Scribed by V. Vuori; J. Laaksonen; E. Oja; J. Kangas
- Publisher
- Springer-Verlag
- Year
- 2001
- Tongue
- English
- Weight
- 212 KB
- Volume
- 3
- Category
- Article
- ISSN
- 1433-2833
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This paper presents a coded block adaptive neural network s)wlem using a radical-partitioned structure /or large-volume Chinese characters recognition. Using the coded hh~ck adaptive neural network system with a radical-partitioned structure, l,O00 fi'equentO'-used Chinese characters have been succe