Bit plane decomposition and the scanning n-tuple classifier
Tóm tắt
This paper describes a multiple classifier configuration for high performance off-line handwritten character recognition applications. Along with a conventional scanning n-tuple classifier (or sn-tuple) implementation, three other sn-tuple systems have been used which are trained using a binary feature set extracted from the contour chain-codes using a novel decomposition technique. The overall accuracy thus achievable by the proposed scheme is much higher than most other classification systems available and the added complexity (over conventional sn-tuple system) is minimal.
Từ khóa
#Character recognition #Image recognition #Feature extraction #Handwriting recognition #Testing #Electronic mail #Humans #Image segmentation #Fusion power generation #Image codingTài liệu tham khảo
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