Paper Title
OFFLINE HANDWRITTEN GUJRATI NUMERAL RECOGNITION USING MLP CLASSIFIER
Article Identifiers
Authors
Dr. Dinesh Satange , Dr. P E Ajmire , Fozia I. Khandwani
Keywords
OCR, MLP, MSV, SVM
Abstract
The goal of Optical Character Recognition (OCR) is to classify optical patterns (often contained in a digital image) corresponding to alphanumeric or other characters. The process of OCR involves several steps including image acquisition, segmentation, feature extraction, and classification. Text capture is a process to convert analogue text based resources into digitally recognizable text resources. An essential first stage in any text capture process is to convert the available text image into digital image of the text. This will provide the base for character recognition. Some basic statistical features are extracted from the digital image of numeral and the same is classified with the help of neural network. This research paper presents the innovative method for handwritten Gujarati Numeral recognition using neural network and the accuracy of recognition of numeral is obtained 95.12% on Training, 90% on Testing and 93.83% on Cross Validation.
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How To Cite
"OFFLINE HANDWRITTEN GUJRATI NUMERAL RECOGNITION USING MLP CLASSIFIER", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.3, Issue 8, page no.31-34, August-2018, Available :https://ijnrd.org/papers/IJNRD1808006.pdf
Issue
Volume 3 Issue 8, August-2018
Pages : 31-34
Other Publication Details
Paper Reg. ID: IJNRD_180153
Published Paper Id: IJNRD1808006
Downloads: 000121143
Research Area: Computer Science & TechnologyÂ
Country: Amravati, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD1808006.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1808006
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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