ISSN : 2319-7323

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING

ABSTRACT

Title	:	A Quad Tree Based Binarization Approach to Improve quality of Degraded Document Images
Authors	:	N. Shobha Rani, Arun Gopi
Keywords	:	Binarization, Degraded documents, Quadtrees, Character recognition, image subdivisions
Issue Date	:	January 2014
Abstract	:	This paper proposes a novel binarization algorithm for converting the grayscale and color images into black and white images. The binarization is one of the very important process in all the researches pertaining to the field of the Document image processing and Pattern recognition. Since quality of binary image plays a critical role in the further processing of the document, especially in the area of researches belonging to the field of Optical character recognition the accuracy of the character recognition mainly depends upon the binarized image. It is very important to perform Binarization accurately and with lowest time complexity. This paper attempts to devise a simple and an efficient algorithm for binarization in order to improvise the outputs in the process of character recognition of various scripts with reduced time complexity.
Page(s)	:	1-8
ISSN	:	2319-7323
Source	:	Vol. 3, No.1