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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD)
An International Open Access Journal |   ISSN: 2456-4184 |  IMPACT FACTOR: 5.57

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Paper Title: OFFLINE HANDWRITTEN GUJRATI NUMERAL RECOGNITION USING MLP CLASSIFIER
Authors Name: Dr. Dinesh Satange , Dr. P E Ajmire , Fozia I. Khandwani
Author Reg. ID:
IJNRD_180153
Published Paper Id: IJNRD1808006
Published In: Volume 3 Issue 8, August-2018
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.
Keywords: OCR, MLP, MSV, SVM
Cite Article: "OFFLINE HANDWRITTEN GUJRATI NUMERAL RECOGNITION USING MLP CLASSIFIER", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.3, Issue 8, page no.31-34, August-2018, Available :http://www.ijnrd.org/papers/IJNRD1808006.pdf
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