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Handwriting recognition has gained a lot of attention in the field of pattern recognition and machine learning due to its application in various fields. Various techniques have been proposed for character recognition in handwriting recognition system like Surf method, Fuzzy logic and Optical Character Recognition (OCR). Among these OCR techniques is more compatible compared to other techniques. Handwritten character recognition is classified into two types as off-line and on-line handwriting recognition methods. In offline recognition, scanned image of the text is considered as input. But, in the online system input is given through touch pad. This paper describes about English Handwritten character recognition system which uses feature extraction based on gradient technique and artificial neural network for recognition.
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"English Handwritten Character recognition", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 6, page no.133 - 138, June-2018, Available :http://www.ijrti.org/papers/IJRTI1806025.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator