Title :
A Cognitive Vision Approach for Image Segmentation Thresholding Images of Historical Documents with Back-to-Front Interference
Author :
Filho, C.J.A. ; Mello, C.B. ; Andrade, J.D. ; Falcao, D.M.A. ; Lima, Marlon P. ; Santos, W.P. ; Oliveira, Adriano L. I.
Author_Institution :
Univ. of Pernambuco, Pernambuco
Abstract :
This paper presents a new algorithm for binarization of historical document images. It is adjusted to deal with the particular case of documents which are written in both sides of the paper. The digitization of these documents in general brings to the digital image this back-to-front interference. In order to deal with it, a thresholding algorithm is proposed based on color quantization by genetic algorithms and image fidelity analysis. The method achieved better results than other well-known algorithms.
Keywords :
document image processing; genetic algorithms; image colour analysis; back-to-front interference; color quantization; digital image; genetic algorithm; historical document images; image binarization; thresholding images; Artificial intelligence; Data mining; Image analysis; Image segmentation; Indexing; Interference; Labeling; Machine vision; Testing; Video sharing;
Conference_Titel :
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
Conference_Location :
Patras
Print_ISBN :
978-0-7695-3015-4
DOI :
10.1109/ICTAI.2007.81
