S. N. Srihari, H. Srinivasan, P. Babu, and C. Bhole, Handwritten Arabic Word Spotting using the CEDARA- BIC Document Analysis System, Proc. Symposium on Document Image Understanding Technology (SDIUT-05), pp.123-132, 2005.

S. N. Srihari, H. Srinivasan, P. Babu, and C. Bhole, Spotting Words in Handwritten Arabic Documents, Proceedings SPIE, pp.606702-606703, 2006.

G. Kim and V. Govindaraju, A Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.4, pp.366-379, 1997.

A. Kolcz, J. Alspector, M. Augusteijn, R. Carlson, and G. Popescu, A Line-Oriented Approach to Word Spotting in Handwritten Documents, Pattern Analysis & Applications, vol.3, issue.2, pp.153-168, 2000.
DOI : 10.1007/s100440070020

M. Burl and P. Perona, Using hierarchical shape models to spot keywords in cursive handwriting data, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), pp.535-540, 1998.
DOI : 10.1109/CVPR.1998.698657

S. Kuo and O. E. Agazzi, Keyword spotting in poorly printed documents using 2-d hidden Markov models, IEEE Trans. Pattern Analysis and Machine Intelligence, vol.16, pp.842-848, 1994.

R. Manmatha and T. M. Rath, Indexing of handwritten historical documents-recent progress, Symposium on Document Image Understanding Technology (SDIUT), pp.77-85, 2003.

B. Zhang, S. N. Srihari, and C. Huang, Word image retrieval using binary features, Document Recognition and Retrieval XI, pp.45-53, 2004.
DOI : 10.1117/12.523968

G. Kim, V. Govindaraju, and S. N. Srihari, A Segmentation and Recognition Strategy for Handwritten Phrases, International Conference on Pattern Recognition, ICPR-13, pp.510-514, 1996.

N. Sargur, C. I. Srihari, B. Tomai, S. Zhang, and . Lee, Individuality of Numerals, ICDAR '03: Proceedings of the Seventh International Conference on Document Analysis and Recognition, 2003.

B. Zhang and S. N. Srihari, Binary vector dissimularity measures for handwriting identification, Proceedings of the SPIE, Document Recognition and Retrieval, pp.155-166, 2003.

H. Freeman, Computer Processing of Line-Drawing Images, ACM Computing Surveys, vol.6, issue.1, pp.57-97, 1974.
DOI : 10.1145/356625.356627

C. C. Lu and J. G. Dunham, Highly efficient coding schemes for contour lines based on chain code representations, IEEE Transactions on Communications, vol.39, issue.10, pp.1511-1514, 1991.
DOI : 10.1109/26.103046

G. Kim and V. Govindaraju, <title>Efficient chain-code-based image manipulation for handwritten word recognition</title>, Document Recognition III, pp.660-262, 1996.
DOI : 10.1117/12.234708