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Journal of Applied Sciences
  Year: 2012 | Volume: 12 | Issue: 22 | Page No.: 2319-2325
DOI: 10.3923/jas.2012.2319.2325
 
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OCR Based Pixel Fusion

Rami Al-Hmouz

Abstract:
Character recognition is the process that allows the automatic identification of character images, which is generally referred as Optical Character Recognition (OCR). The characters are either handwritten or typed. This study proposed a novel OCR approach based on the likelihood functions of pixels, which were obtained by averaging a trained set of character images. A Bayesian fusion process for all pixel probabilities decides the recognition of characters. Further tests using Support Vector Machine (SVM) classifier were carried out on characters with the same shape. This method was used to test noisy images and achieved an accuracy of 97.95%, thus, outperforming other OCR methods.
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How to cite this article:

Rami Al-Hmouz , 2012. OCR Based Pixel Fusion. Journal of Applied Sciences, 12: 2319-2325.

DOI: 10.3923/jas.2012.2319.2325

URL: https://scialert.net/abstract/?doi=jas.2012.2319.2325

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