An Efficient OCR System based on the Regional Feature using the ASVM as Classifier

Abstract

In Image Processing, sometimes due to poor handwriting, the writer left some gap between diacritics and character or between diacritics and header line due to which small text blocks gets created which leads to improper text line segmentation and hence leads to wrong results and overlapping. As a result accuracy of the algorithm degrades. In proposed work Adaptive SVM will be used to improve accuracy of the system. Maninder Kaur | Ms. Manjeet Kaur"An Efficient OCR System based on the Regional Feature using the ASVM as Classifier" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2425.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/2425/an-efficient-ocr-system-based-on-the-regional-feature--using-the-asvm-as-classifier/maninder-kaur

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  • EP ID EP358174
  • DOI -
  • Views 122
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How To Cite

(2017). An Efficient OCR System based on the Regional Feature using the ASVM as Classifier. International Journal of Trend in Scientific Research and Development, 1(5), -. https://europub.co.uk/articles/-A-358174