Regional Language Optical Character Recognition Using Machine Learning

^{Regional Language Optical Character Recognition Using Machine Learning}

Devyani Parmar¹, Prof. Ankur J Goswami²

¹Department of computer science, sankalchand Patel College of Engineering, visnagar

²Faculty of Sankalchand Patel College of Engineering, Visnagar,India

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Abstract -  The character recognition is fast-growing and composite area of machine learning and pattern recognition. The world is moving away from traditional pen and paper kind of communication tool and moving towards a digital world. As the world is becoming digital, more and more people are adopting digital technologies which result in increasing use of handheld devices. Digital world opens many opportunity and areas for researchers. There is a need of online handwritten character recognition system to provide an easy and efficient tool to communicate with digital gadgets in a traditional language and traditional way.

Optical Character Recognition (OCR) is a process or technology in which text within a digital image is recognized. It is mainly used for converting the transcribed, handwritten or any printed text to the text data that can be edited and reused.

Keywords: Optical character recognition, feature extraction, image processing, handwritten documents , character extraction