Normalization of contrast in document images using generalized fuzzy operator with least square method

C. C. Leung, P. C.K. Kwok, F. H.Y. Chan, W. K. Tsui

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The visual effect of non-uniform contrast and brightness surrounds in the image is a very common problem in the applications of photocopying, IC manufacture and medicine. In using the digital/CCD camera to capture documents and photos based on non-uniform illumination condition, the poor image will be seen. The poor image can result in achieving the inaccurate reading from the optical character recognition (OCR) system. This paper present a new approach to normalize the local contrast in documentation based on the least square method and also enhance the object of interest using generalized fuzzy operator (GFO). Two typical examples are used for evaluating the method.

Original languageEnglish
Pages (from-to)115-118
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume16
Issue number3
Publication statusPublished - 2002

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