DocumentCode :
3646746
Title :
The performance evaluation of thresholding algorithms for optical character recognition
Author :
A.T. Abak;U. Baris;B. Sankur
Author_Institution :
Software Process. Group, Tubitak Mam, Turkey
Volume :
2
fYear :
1997
Firstpage :
697
Abstract :
The paper presents performance evaluation of thresholding algorithms in the context of document analysis and character recognition systems. Several thresholding algorithms are comparatively evaluated on the basis of the original bitmaps of characters. Different distance measures such as Hausdorff, Jaccard, and Yule are used to measure the similarity between thresholded bitmaps and original bitmaps of characters.
Keywords :
"Optical character recognition software","Character recognition","Histograms","Entropy","Iterative algorithms","Text analysis","Image analysis","Image processing","Noise shaping","Pixel"
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Print_ISBN :
0-8186-7898-4
Type :
conf
DOI :
10.1109/ICDAR.1997.620597
Filename :
620597
Link To Document :
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