Multilayer cluster neural network for totally unconstrained handwritten numeral recognition
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2015, Applied Computing in Medicine and HealthA classifier for Bangla handwritten numeral recognition
2012, Expert Systems with ApplicationsHandwritten digit recognition: Investigation of normalization and feature extraction techniques
2004, Pattern RecognitionCitation Excerpt :For gradient feature extraction, we use the Sobel operator to compute the x/y components of gradient and the gradient image is decomposed into four orientation planes or eight direction planes. The Sobel operator has been used by other researchers [17,18], and some researchers have also used the Roberts operator [19] and Kirsh operator [28]. The gradient strength and direction can be computed from the vector [gx,gy]T. For character feature extraction, the gradient of every pixel on the normalized image is computed.
Handwritten digit recognition: Benchmarking of state-of-the-art techniques
2003, Pattern RecognitionCitation Excerpt :The gradient image is decomposed into four orientation planes or eight direction planes. The gradient operators used in feature extraction of character recognition include the Roberts operator [7,45], the Sobel operator [50,53] and the Kirsh operator [33]. The Kirsh operator is unique in that four gradient components are computed while other operators compute two components.
Local learning framework for handwritten character recognition
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