Abstract
Due to advancement in digital technology, handwritten Character recognition plays a significant role for interaction between human and computer. For recognition of handwritten character a standard database is required. There is no benchmark data base of Devnagari script in Hindi with matra’s (modifiers). A database for off-line Hindi handwritten character with modifier is developed. The database consist more than 23000 images of their original size with programmatically segmented consonant and vowels. The Data set is collected from persons of different gender, age, profession and educational qualification. Data are also collected from person of different geographical location of India.
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Nehra, M.S., Neeta Nain, Mushtaq Ahmed (2016). Handwritten Devnagari Script Database Development for Off-Line Hindi Character with Matra (Modifiers). In: Afzalpulkar, N., Srivastava, V., Singh, G., Bhatnagar, D. (eds) Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2638-3_27
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DOI: https://doi.org/10.1007/978-81-322-2638-3_27
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