*Five Years Citation in Google scholar (2016 - 2020) is. 1451*   *    IJPR IS INDEXED IN ELSEVIER EMBASE & EBSCO *       

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INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence
Published by : Advanced Scientific Research
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0975-2366
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IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

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An Enhanced Approach for Binarizing and Segmenting Degraded Ayurvedic Medical Prescription

Author: B.J. NAIR, C. ANIL KRISHNAN , JOSHUA JOHNS , B.V. SADRIS JAIN , B. SARATH
Abstract: This paper’s aim is to recognize offline Hand written Malayalam character in different images using optical character recognition, OCR is a challenging technology and popular of pattern recognition. Using OCR in Malayalam language is more complex because the language contains with largest number of characters among all other Indian languages. In this paper we propose an enhanced approach of offline handwritten characters. The steps in the proposed works are Pre-processing, Segmentation. In pre-processing the method used Otsu, Sauvola and Hybrid method, which is applying dilation on sauvola method. In segmentation we use word level segmentation and character level segmentation.
Keyword: Sauvola, Hybrid Method, Ayurvedic.
DOI: https://doi.org/10.31838/ijpr/2020.12.02.0123
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