Date of Award
Electrical and Computer Engineering
Engineering, Electronics and Electrical.
CC BY-NC-ND 4.0
Image thresholding and page segmentation are necessary components of any image understanding and recognition system. In order for an OCR to function properly, texts in a document image has to be isolated and then fed to the OCR for recognition. This requires development of a robust and accurate page segmentation technique. In any page segmentation technique, a preprocessing step in terms of image restoration and thresholding is needed. This thesis therefore concentrates on the development of efficient and robust image thresholding and page segmentation algorithms. In this thesis, three efficient contrast enhancement techniques are proposed that in conjunction with the thresholding techniques of Ridler and Calvard constitute the preprocessing step for the image segmentation algorithm. This thesis also provides a survey of the pertinent page segmentation techniques in the literature, and proposes a new block labeling technique based on smearing algorithm. An exhaustive experimentation is conducted in this thesis to demonstrate the efficiency of the proposed techniques.Dept. of Electrical and Computer Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2003 .L56. Source: Masters Abstracts International, Volume: 42-03, page: 1015. Thesis (M.A.Sc.)--University of Windsor (Canada), 2003.
Lin, Yi., "Document analysis using image processing techniques." (2003). Electronic Theses and Dissertations. 1771.