Adapting the Tesseract open source OCR engine for multilingual OCR

ACM International Conference Proceeding Series

Volumn , Issue , 2009, Pages

  Smith, Ray ^a   Antonova, Daria ^a   Lee, Dar Shyang ^a  

^a GOOGLE INC   (United States)

Author keywords

Multi lingual OCR; Tesseract

Indexed keywords

ENGINES;

CHARACTER ERROR RATES; EUROPEAN LANGUAGES; OPEN SOURCES; PHYSICAL LAYOUT; POST PROCESSING; RANDOM SAMPLE; TESSERACT; WORD ERROR RATE;

LINGUISTICS;

EID: 84904572813     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1577802.1577804     Document Type: Conference Paper

References (15)

1. th Int. Conf. on Pattern Recognition, Nov. 1988, pp163-167.
2. Xia, F. "Knowledge-based sub-pattern segmentation: decompositions of Chinese characters" Image Processing 1994. Proc. ICIP-94, IEEE Int. Conf. vol. 1, 13-16 Nov. 1994, pp179-182.
3. Zhidong Lu, Schwartz, R. Natarajan, P. Bazzi, I. Makhoul, J. "Advances in the BBN BYBLOS OCR system" Proc. 5th Int. Conf. on Document Analysis and Recognition, 1999, pp337-340.
4. Kanungo, T., Marton, G. A., Bulbul, O., "Omnipage vs. Sakhr: paired Model Evaluation of Two Arabic OCR Products" Proc. SPIE 3651, 7 Jan 1999, pp109-120.
5. th Int. Conf on Document Analysis and Recognition, 2001, pp800-804.
6. st Int. Workshop on document Image Analysis for Libraries, 2004, pp122-133.
7. Official Google Blog: http://googleblog.blogspot.com/2008/07/hitting-40- languages.html.
8. th Int. Conf. on Document Analysis and Recognition, 2007, pp629-633.
9. Tesseract Open-Source OCR: http://code.google.com/p/tesseract-ocr.
10. Smith, R "Hybrid Page Layout Analysis via Tab-Stop Detection, Document Analysis and Recognition" Proc. 10th Int. Conf. on Document Analysis and Recognition, 2009.
11. rd Int. Conf. on Document Analysis and Recognition, 1995, pp1145-1148.
12. Unnikrishnan, R., Smith, R., "Combined Script and Page Orientation Estimation using the Tesseract OCR engine" Submitted to International Workshop of Multilingual OCR, 25th July 2009, Barcelona, Spain.
13. th Int. Conf. on Very Large Data Bases, 1999, pp518-529.
14. Baluja, S., Covell, M., "Learning to hash: forgiving hash functions and applications" Data Mining and Knowledge Discovery 17(3), Dec. 2008, pp402-430.
15. Schapire, R. E., "The Strength of Weak Learnability" Machine Learning, 5, 1990, pp 197-227.