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COMPREHENSIVE STUDY ON GUJARATI HANDWRITTEN CHARACTER RECOGNITION

机译:GUJARATI手写字符识别的综合研究

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Handwritten character recognition is a research field of Pattern recognition where many researchers worked and are also moving towards to achieve more accuracy. India is a country where more than 50 languages are spoken and more than 22 languages are used for communication through handwritten or printed characters like Hindi, Marathi, Gujarati, Bengali, Kannad, Malayalam, etc. Automation of Off-line hand-written character recognition is an open challenge for researchers. Many researcher faced challenges due to different ways to write handwritten characters and it vary by person to person. This paper makes an in-depth study on the existing literature on recognition of handwritten Gujarati characters and numerals. We also included the handwritten character recognition for Indian languages and widely used methods emphasized by researchers to obtain high accuracy. The paper also discusses the current trends, challenges and future research scope in the area of Gujarati character recognition.
机译:手写字符识别是模式识别的研究领域,许多研究人员在其中进行了研究,并且也在努力实现更高的准确性。印度是一个会说50多种语言并使用22种语言通过手写或印刷字符(如印地语,马拉地语,古吉拉特语,孟加拉语,坎纳德语,马拉雅拉姆语)进行交流的国家。离线手写字符识别的自动化对研究人员来说是一个公开的挑战。许多研究人员由于书写手写字符的方法不同而面临挑战,并且因人而异。本文对现有的关于手写古吉拉特语字符和数字识别的文献进行了深入研究。我们还包括印度语言的手写字符识别以及研究人员强调的为获得高精度而广泛使用的方法。本文还讨论了古吉拉特语字符识别领域的当前趋势,挑战和未来的研究范围。

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