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