DocumentCode :
3060948
Title :
Binary character/graphics image extraction: a new technique and six evaluation aspects
Author :
Kamel, Mohamed ; Zhao, Aiguo
Author_Institution :
Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
113
Lastpage :
116
Abstract :
Deals with the extraction of binary character/graphics images from grayscale document images with background pictures, shadows, highlight, smear and smudge. The authors review four published extraction techniques, and present a new technique. They then propose speed, memory requirement, stroke width restriction, parameter number, parameter setting and human subjective evaluation of result images as six aspects for evaluating and analysing extraction techniques. The result of systematically evaluating and analyzing both new and published techniques with experiments on images of typical check images and poor-quality text documents with respect to these six aspects is reported
Keywords :
character recognition; document image processing; feature extraction; binary character/graphics image extraction; character recognition; document image processing; grayscale document images; human subjective evaluation; memory requirement; parameter number; parameter setting; stroke width restriction; Character recognition; Design engineering; Graphics; Gray-scale; Humans; Image analysis; Image processing; Optical character recognition software; Pixel; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
Type :
conf
DOI :
10.1109/ICPR.1992.201940
Filename :
201940
Link To Document :
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