Low resolution character recognition by dual eigenspace and synthetic degraded patterns

HDP 2004: Proceedings of the First ACM Hardcopy Document Processing Workshop

Volumn , Issue , 2004, Pages 15-22

  Sun, Jun ^a   Hotta, Yushinobu ^a   Katsuyama, Yutaka ^a   Naoi, Satoshi ^a  

^a FUJITSU LABORATORIES LTD   (Japan)

Author keywords

Character recognition; Degradation model; Dual eigenspace; Grayscale feature extraction

Indexed keywords

CAMERAS; DEGRADATION; EIGENVALUES AND EIGENFUNCTIONS; EMBEDDED SYSTEMS; FEATURE EXTRACTION; IMAGE PROCESSING; MATHEMATICAL MODELS; OPTICAL RESOLVING POWER; ROBUSTNESS (CONTROL SYSTEMS); SPURIOUS SIGNAL NOISE;

DEGRADATION MODEL; DUAL EIGENSPACE; GRAYSCALE FEATURE EXTRACTION; OCR ENGINES;

OPTICAL CHARACTER RECOGNITION;

EID: 20444496589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1031442.1031445     Document Type: Conference Paper

References (9)

1. th International conference on Document Analysis and Recognition Volume 1, pp. 606-616, Edinburgh, Scotland, 2003.
2. Mori, S., Nishida, H., Yamada, H. Optical Character Recognition. John Wiley & Sons. 1999.
3. Zhang, D., Peng, H., Zhou, J., Sankar, K. P. A novel face recognition system using hybrid neural and dual eigenspace methods. IEEE trans. System, Man and Cybernetics - part A 32 (6) pp.787-792, 2002
4. Sun, J., Katsuyama, Y., Naoi, S. Video degradation model and its application to character recognition in e-Learning videos. IAPR workshop on Document Analysis Systems, Florence, Italy, 2004.
5. Kamada, H., Fujimoto, K. High-Speed, High-Accuracy Binarization Method for Recognizing Text in Images of Low Spatial Resolutions. IEEE Fifth international conference on Document Analysis and Recognition, 1999, pp. 139-143
6. Hai, T., Kabuyama, Y., and Yamamoto, E., A method for Handwritten Kanji Character Recognition - Recognition Method by Multiple Standpoints and Particular Shape Extraction., IEICE Vol.J68-D, No.4,pp.773-780, Apr.1985 (inJapanese)
7. Shridhar, M., Kimura, F. Segmentation-Based Cursive Handwriting recognition. Handbook of Character Recognition and Document Image Analysis: 123-156, 1997
8. Turk, M., Pentlend, A. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3 (1) pp.71-86, 1991.
9. Moghaddam B., Pentland A. Face recognition using view-based and modular eigenspaces. Proceedings of SPIE 2257, pp. 12-21, 1994.