Adaptive nonlinear shape matching for unconstrained handwritten character recognition
โ Scribed by Jeong-Seon Park; Seong-Whan Lee
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 823 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0031-3203
No coin nor oath required. For personal study only.
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Since Chinese characters can be represented by a set of basic line segments called sub-strokes, sub-strokes are often used as features to recognize handwritten Chinese Characters. However, the number of sub-strokes needed to evaluate a character are different due to handwriting variations and variat
The nonlinear normalization (NLN) method based on line density equalization is popularly used in handwritten Chinese character recognition. To overcome the insufficient shape restoration capability of one-dimensional NLN, a pseudo twodimensional NLN (P2DNLN) method has been proposed and has yielded