Comprehensive Study on Gujarati Handwritten Character Recognition
Published: 2017
Author(s) Name: Jitendra B. Upadhyay, Kalpesh B. Lad |
Author(s) Affiliation: Assist. Prof., Shrimad Rajchandra Inst. of Mgt. and Comp. Application, Uka Tarsadia Univ., Gujarat.
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Abstract
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.
Keywords: Handwritten Character Recognition (HCR), Feature Extraction, Classifier
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