This paper presents a hierarchical neural network architecture for recognition of handwritten numeral characters. In this new architecture, two separately trained neural networks connected in series, use the pixels of the numeral image as input and yield ten outputs, the largest of which identifies
โฆ LIBER โฆ
A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition
โ Scribed by Jaemo Sung; Sung-Yang Bang; Seungjin Choi
- Book ID
- 108234775
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 406 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0167-8655
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