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A survey of offline handwritten Hindi character recognition

机译:离线手写印地语字符识别研究

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The problem of character recognition may be categorized into two categories-recognition of printed characters and recognition of handwritten characters. Further, the problem of handwritten character recognition is categorized into two categories-recognition of offline handwritten characters and recognition of online characters. This paper presents an extensive overview of research work, which have been done for recognizing the offline handwritten characters using the various approaches like-ANNs, Fuzzy Logic, Genetic algorithms, SVM, KNN Hidden Markov Model (HMM), Bacterial Foraging, Clonal Selection Algorithm etc. and discuss their performance in terms of accuracy of recognizing the characters.
机译:字符识别的问题可以分为两类:打印字符的识别和手写字符的识别。此外,手写字符识别的问题可分为两类:离线手写字符的识别和在线字符的识别。本文介绍了广泛的研究工作,这些工作已使用各种方法来识别离线手写字符,例如-ANN,模糊逻辑,遗传算法,SVM,KNN隐藏马尔可夫模型(HMM),细菌觅食,克隆选择算法等,并从识别字符的准确性方面讨论它们的性能。

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