An optical character recognition approach to qualifying thresholding algorithms

DocEng'08 - Proceedings of the 8th ACM Symposium on Document Engineering

Volumn , Issue , 2008, Pages 263-266

  Sturgill, Margaret ^a   Simske, Steven J ^a  

^a HEWLETT PACKARD LABORATORIES   (United States)

Author keywords

Accuracy; Kittler Illingworth; Meta algorithms; OCR; Otsu; Testing; Threshold

Indexed keywords

ACCURACY; KITTLER-ILLINGWORTH; META-ALGORITHMS; OCR; OTSU; TESTING; THRESHOLD;

CHARACTER RECOGNITION; OPTICAL CHARACTER RECOGNITION;

IONIZING RADIATION;

EID: 59249099706     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1410140.1410197     Document Type: Conference Paper

References (8)

1. Otsu, N. 1979 A threshold selection method from gray-level histogrms. IEEE Trans. Syst. Man Cybern. Vol. SMC-9, No. 1, 62-66.
2. Kittler, J. and Illingworth, J. 1986 Minimum error thresholding. Pattern Recognition, Vol. 19, No. 1, 41-47.
3. Mitchell, B.T. and Gillies, A.M. 1989 A model-based computer vision system for recognizing handwritten ZIP codes. Machine Vision and Applications Vol. 2, 231-243.
4. http://code.google.com/p/tesseract-ocr/ on 4 June 2008.
5. Rice S., Jenkins F., and Nartker T. 1995 The Fourth Annual Test of OCR Accuracy. Technical Report 95-04, Information Science Research Institute, University of Nevada, Las Vegas
6. Simske, S J., Wright, D.W. and Sturgill, M. 2006 Metaalgorithmic systems for document classification. Proc. 2006 ACM Symp. Doc. Engr., 98-106.
7. http://www.imagemagick.org/ on June 6, 2008.
8. http://www.isri.unlv.edu/ISRI/OCRtk on June 6, 2008.