Stochastic attributed K-D tree modeling of technical paper title pages

IEEE International Conference on Image Processing

Volumn 1, Issue , 2003, Pages 533-536

  Mao, Song ^a   Rosenfeld, Azriel ^b   Kanungo, Tapas ^c  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c IBM ALMADEN RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DURATION VITERBI (DV) ALGORITHM; STRUCTURAL INFORMATION;

ALGORITHMS; DYNAMIC PROGRAMMING; HIERARCHICAL SYSTEMS; INDEXING (OF INFORMATION); MARKOV PROCESSES; OPTICAL CHARACTER RECOGNITION; QUERY LANGUAGES; TREES (MATHEMATICS); TURBO CODES;

INFORMATION RETRIEVAL SYSTEMS;

EID: 0038444079     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. D. R. Cox and H. D. Miller, The Theory of Stochastic Processes, Methuen and Co LTd, London, 1965.
2. G. E. Kopec and P. A. Chou, "Document image decoding using Markov source models," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, pp. 602-617, 1994.
3. T. A. Tokuyasu and P. A. Chou, "Turbo recognition: A statistical approach to layout analysis," in Proceedings of SPIE Conference on Document Recognition and Retrieval, San Jose, CA, January 2001.
4. M. Krishnamoorthy, G. Nagy, S. Seth, and M. Viswanathan, "Syntactic segmentation and labeling of digitized pages from technical journals," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, pp. 737-747, 1993.
5. T. Kanungo, R. M. Haralick, and I. Phillips, "Nonlinear local and global document degradation models," International Journal of Imaging Systems and Technology, vol. 5, pp. 220-230, 1994.