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