DSP based Optical Character Recognition for Devnagari charaters.

March 2017
Vol-3, Issue-2
Paper ID: 4395
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
OCR Character Recognition Segmentation
Abstract
Optical Character Recognition (OCR) is a research area that has attracted the interest of researchers for the past forty years. Character recognition is the mechanical or electronic conversion of scanned image of handwritten, typewritten or printed text into machine encoded text. Although the subject has been the center topic for many researchers for years, it remains one of the most challenging and exciting areas in pattern recognition. In our project, a robust DSP-based OCR is developed to recognize the Devnagari characters, display them as well as produce output in audio form. There are millions of people in India who speak Hindi and write Devnagari script. Research in Optical Character Recognition (OCR) is popular for its application potential in banks, post offices, defense organizations and library automation etc. However most of the OCR systems are available now but they were only software based. In this work, a technique for OCR System for different five fonts and sizes of printed Devnagari script which will be hardware related. The recognition rate of the proposed OCR system with the document of image of Devnagari Script has been found to be quite high.

Author Information

# Name Institute / Affiliation
1 Heena Sindhani MET BKC IOE Nashik
2 Madhuri Mogal MET BKC IOE Nashik
3 Prajakta Sonawane MET BKC IOE Nashik
4 Kajal Gade MET BKC IOE Nashik
5 Vaishali Khandave MET BKC IOE Nashik

How to Cite

Use the following formats to cite this article in your research.

APA Style
Sindhani, Heena, Mogal, Madhuri, Sonawane, Prajakta, Gade, Kajal, & Khandave, Vaishali (2017). DSP based Optical Character Recognition for Devnagari charaters.. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 2774-2778.
MLA Style
Sindhani, Heena, et al. "DSP based Optical Character Recognition for Devnagari charaters.." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 2774-2778.
IEEE Style
Heena Sindhani, Madhuri Mogal, Prajakta Sonawane, Kajal Gade, and Vaishali Khandave, "DSP based Optical Character Recognition for Devnagari charaters.," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 2774-2778, 2017.
Vancouver Style
Sindhani Heena, Mogal Madhuri, Sonawane Prajakta, Gade Kajal, Khandave Vaishali. DSP based Optical Character Recognition for Devnagari charaters.. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):2774-2778.
Harvard Style
Sindhani, Heena, Mogal, Madhuri, Sonawane, Prajakta, Gade, Kajal, & Khandave, Vaishali (2017) 'DSP based Optical Character Recognition for Devnagari charaters.', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 2774-2778.
Chicago Style
Sindhani, Heena, et al. "DSP based Optical Character Recognition for Devnagari charaters.." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 2774-2778.
Turabian Style
Sindhani, Heena, et al. "DSP based Optical Character Recognition for Devnagari charaters.." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 2774-2778.

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