A. Amin, Prototyping structural description using an inductive learning program, International Journal of Intelligent Systems, vol.5, issue.12, pp.1103-1123, 2000.
DOI : 10.1002/1098-111X(200012)15:12<1103::AID-INT1>3.0.CO;2-H

N. Arica and F. Yarman-vural, An overview of character recognition focused on off-line handwriting, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol.31, issue.2, pp.216-233, 2001.
DOI : 10.1109/5326.941845

C. Bahlmann and H. Burkhardt, The writer independent online handwriting recognition system frog on hand and cluster generative statistical dynamic time warping, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.3, pp.299-310, 2004.
DOI : 10.1109/TPAMI.2004.1262308

R. Bellman and R. Kalaba, On adaptive control processes, IRE Transactions on Automatic Control, vol.4, issue.2, pp.1-9, 1959.
DOI : 10.1109/TAC.1959.1104847

M. Blumenstein, B. Verma, and H. Basli, A novel feature extraction technique for the recognition of segmented handwritten characters, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., p.137, 2003.
DOI : 10.1109/ICDAR.2003.1227647

G. Boccignone, A. Chianese, L. Cordella, and A. Marcelli, Recovering dynamic information from static handwriting, Pattern Recognition, vol.26, issue.3, pp.409-418, 1993.
DOI : 10.1016/0031-3203(93)90168-V

S. Cha, Y. Shin, and S. N. Srihari, Approximate stroke sequence string matching algorithm for character recognition and analysis, Proceedings of International Conference on Document Analysis and Recognition, pp.53-56, 1999.

H. Chiu and D. Tseng, A novel stroke-based feature extraction for handwritten Chinese character recognition, Pattern Recognition, vol.32, issue.12, pp.1947-1959, 1999.
DOI : 10.1016/S0031-3203(99)00003-5

L. H. Chun, P. Zhang, X. J. Dong, C. Y. Suen, and T. D. Bui, The role of size normalization on the recognition rate of handwritten numerals, IAPR TC3 Workshop of Neural Networks and Learning in Document Analysis and Recognition, pp.8-12, 2005.

S. D. Connell and A. K. Jain, Template-based online character recognition, Pattern Recognition, vol.34, issue.1, pp.1-14, 1999.
DOI : 10.1016/S0031-3203(99)00197-1

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.8122

T. Dimond, Devices for reading handwritten characters, Papers and discussions presented at the December 9-13, 1957, eastern joint computer conference: Computers with deadlines to meet on XX, IRE-ACM-AIEE '57 (Eastern), pp.232-237, 1957.
DOI : 10.1145/1457720.1457765

D. S. Doermann and A. Rosenfeld, Recovery of temporal information from static images of handwriting, International Journal of Computer Vision, vol.12, issue.3, pp.143-164, 1995.
DOI : 10.1007/BF01450853

M. Egenhofer and J. R. Herring, Categorizing Binary Topological Relations Between Regions, Lines, and Points in Geographic Databases, 1991.

P. Foggia, C. Sansone, F. Tortorella, and M. Vento, Combining statistical and structural approaches for handwritten character description, Image and Vision Computing, vol.17, issue.9, pp.701-711, 1999.
DOI : 10.1016/S0262-8856(98)00146-2

G. Groner, Real-time recognition of handprinted text, Memorandum RM-5016-ARPA, 1966.

W. Guerfali and R. Plamondon, Normalizing and restoring on-line handwriting, Pattern Recognition, vol.26, issue.3, pp.419-431, 1993.
DOI : 10.1016/0031-3203(93)90169-W

L. Heutte, T. Paquet, J. Moreau, Y. Lecourtier, and C. Olivier, A structural/statistical feature based vector for handwritten character recognition, Pattern Recognition Letters, vol.19, issue.7, pp.629-641, 1998.
DOI : 10.1016/S0167-8655(98)00039-7

J. Hu, M. K. Brown, and W. Turin, Hmm based on-line handwriting recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, pp.1039-1045, 1996.

R. Jayadevan, S. R. Kolhe, P. M. Patil, and U. Pal, Offline Recognition of Devanagari Script: A Survey, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol.41, issue.6, pp.41-782, 2011.
DOI : 10.1109/TSMCC.2010.2095841

E. J. Keogh, Exact indexing of dynamic time warping, Proceedings of 28th International Conference on Very Large Data Bases, pp.406-417, 2002.

E. J. Keogh and M. J. Pazzani, Scaling up Dynamic Time Warping to Massive Datasets, pp.1-11, 1999.
DOI : 10.1007/978-3-540-48247-5_1

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.5973

J. B. Kruskall and M. Liberman, The symmetric time warping algorithm: From continuous to discrete, Time Warps, String Edits and Macromolecules: The Theory and Practice of String Comparison, pp.125-161, 1983.

R. P. Lippmann, Pattern classification using neural networks, IEEE Communications Magazine, vol.27, issue.11, pp.47-50, 1989.
DOI : 10.1109/35.41401

K. Miyajima and A. Ralescu, Spatial organization in 2D segmented images: representation and recognition of primitive spatial relations, Fuzzy Sets Systems, pp.225-236, 1994.

C. S. Myers and L. R. Rabiner, A Comparative Study of Several Dynamic Time-Warping Algorithms for Connected-Word Recognition, Bell System Technical Journal, vol.60, issue.7, pp.1389-1409, 1981.
DOI : 10.1002/j.1538-7305.1981.tb00272.x

A. M. Namboodiri and A. K. Jain, Online handwritten script recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.1, pp.124-130, 2004.
DOI : 10.1109/TPAMI.2004.1261096

D. Okumura, S. Uchida, and H. Sakoe, An HMM implementation for on-line handwriting recognition based on pen-coordinate feature and pen-direction feature, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), pp.26-30, 2005.
DOI : 10.1109/ICDAR.2005.50

U. Pal and B. B. Chaudhuri, Indian script character recognition: a survey, Pattern Recognition, vol.37, issue.9, pp.1887-1899, 2004.
DOI : 10.1016/j.patcog.2004.02.003

D. Papadias and T. Sellis, Relation Based Representations for Spatial Knowledge, 1994.

R. Plamondon and S. Srihari, Online and off-line handwriting recognition: a comprehensive survey, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.1, pp.63-84, 2000.
DOI : 10.1109/34.824821

Y. Qiao, M. Nishiara, and M. Yasuhara, A framework toward restoration of writing Appeared in 'Advances in Character Recognition', Editor -Xiaoqing Ding, 2006.

H. Sakoe, Dynamic programming algorithm optimization for spoken word recognition, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.26, issue.1, pp.43-49, 1978.
DOI : 10.1109/TASSP.1978.1163055

K. C. Santosh, B. Lamiroy, and J. Ropers, Inductive Logic Programming for Symbol Recognition, 2009 10th International Conference on Document Analysis and Recognition, pp.1330-1334, 2009.
DOI : 10.1109/ICDAR.2009.166

K. C. Santosh, B. Lamiroy, and L. Wendling, Symbol recognition using spatial relations, Pattern Recognition Letters, vol.33, issue.3, pp.331-341, 2012.
DOI : 10.1016/j.patrec.2011.09.040

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.5505

K. C. Santosh and C. Nattee, Stroke Number and Order Free Handwriting Recognition for Nepali, Proceedings of the Pacific Rim International Conferences on Artificial Intelligence, pp.990-994, 2006.
DOI : 10.1007/978-3-540-36668-3_120

K. C. Santosh and C. Nattee, Structural Approach on Writer Independent Nepalese Natural Handwriting Recognition, 2006 IEEE Conference on Cybernetics and Intelligent Systems, pp.1-6, 2006.
DOI : 10.1109/ICCIS.2006.252294

K. C. Santosh and C. Nattee, Template-based nepali natural handwritten alphanumeric character recognition, Thammasat International Journal of Science and Technology, vol.12, issue.1, pp.20-30, 2007.

K. C. Santosh, C. Nattee, and B. Lamiroy, Spatial similarity based stroke number and order free clustering, Proceedings of IEEE International Conference on Frontiers in Handwriting Recognition, pp.652-657, 2010.

K. C. Santosh, C. Nattee, and B. Lamiroy, RELATIVE POSITIONING OF STROKE-BASED CLUSTERING: A NEW APPROACH TO ONLINE HANDWRITTEN DEVANAGARI CHARACTER RECOGNITION, International Journal of Image and Graphics, vol.12, issue.02, p.25, 2012.
DOI : 10.1142/S0219467812500167

M. Schenkel, I. Guyon, and D. Henderson, On-line cursive script recognition using time delay neural networks and hidden Markov models, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, pp.215-223, 1995.
DOI : 10.1109/ICASSP.1994.389575

C. C. Tappert, C. Y. Suen, and T. Wakahara, The state of the art in online handwriting recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.8, pp.787-808, 1990.
DOI : 10.1109/34.57669

. ?ivind-due-trier, A. K. Jain, and T. Taxt, Feature extraction methods for character recognition-A survey, Pattern Recognition, vol.29, issue.4, pp.641-662, 1996.
DOI : 10.1016/0031-3203(95)00118-2

B. Verma, J. Lu, M. &. Ghosh, and G. , A feature extraction technique for on-line handwriting recognition, Proceedings of IEEE International Joint Conference on Neural Networks, pp.1337-1341, 2004.

C. Viard-gaudin, P. M. Lallican, and S. Knerr, Recognition-directed recovering of temporal information from handwriting images, Pattern Recognition Letters, vol.26, issue.16, pp.2537-2548, 2005.
DOI : 10.1016/j.patrec.2005.04.019

X. Wang and J. M. Keller, Human-based spatial relationship generalization through neural/fuzzy approaches, Fuzzy Sets and Systems, vol.101, issue.1, pp.5-20, 1999.
DOI : 10.1016/S0165-0114(97)00035-3

X. Zhou, C. Liu, S. Quiniou, and E. Anquetil, Text/Non-text Ink Stroke Classification in Japanese Handwriting Based on Markov Random Fields, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), pp.377-381, 2007.
DOI : 10.1109/ICDAR.2007.4378735