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Gujarati Character Identification A Survey
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Abstract: English Character Recognition techniques have been studied extensively in the last two decades and it gain unbelievable high progress and success ratio. But for regional languages these are still emerging and their success ratio is very poor. In Gujarat, there are thousands of people who can speak, write and understand only Gujarati language. Rapid growing computation may increase Indian CR methodology. Today the whole world is digitized. And heavy demand of digital documentation in any field like postal services, publishing house, automation, data entry, text entry and communication technology. Gujarati is mother tongue of Gujarat, spoken by thousands of people. There is less development in this area due to complexity in script. In this paper, we are presents different technique through which GOCR (Gujarati Optical Character Recognition) is possible.
Keywords: Gujarati Character Recognition, Segmentation, Feature Extraction, Image Classification, OCR
Keywords: Gujarati Character Recognition, Segmentation, Feature Extraction, Image Classification, OCR
How to Cite:
[1] MITUL MODI, FEDRIK MACWAN, RAVINDRA PRAJAPATI, βGujarati Character Identification A Survey,β International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE)
