A scheme for salt and pepper noise reduction and its application for OCR systems

Authors:
Nucharee Premchaiswadi;Sukanya Yimgnagm;Wichian Premchaiswadi
Affiliations:
Faculty of Information Technology, Dhurakij Pundit University, Bangkok, Thailand;Faculty of Resource and Environment, Kasetsart University, Bangkok, Thailand;Graduate School of Information Technology, Siam University, Bangkok, Thailand
Venue:
WSEAS Transactions on Computers
Year:
2010

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Computer
Document image analysis

Document image analysis
Digital Image Processing

Digital Image Processing
A scheme for salt and pepper noise reduction on graylevel and color images

ISCGAV'09 Proceedings of the 9th WSEAS international conference on Signal processing, computational geometry and artificial vision

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Abstract

This paper presents an algorithm for Salt and Pepper noise reduction which can be applied to binary, gray scale, and color formatted documents. The scheme combines the characteristics of the Applied kFill Algorithm and Median Filter Algorithm by using window sizes of 3×3 and 5×5, depending on the size of the Salt and Pepper noise. The goal of this technique is to increase the PSNR of picture images and improve the quality for scanning documents when using an optical character recognition (OCR) system. The experimental results show that the proposed scheme can remove Salt and Pepper noise better than the Applied kFill Algorithm and Median Filter Algorithm and can significantly improve the recognition accuracy of an optical character recognition (OCR) system.