Y. Alginahi, Preprocessing techniques in character recognition . Character Recognition, 2010.

N. Arica and F. Yarman, 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

S. Belongie, J. Malik, and J. Puzicha, Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, pp.509-522, 2002.
DOI : 10.1109/34.993558

U. Bhattacharya and B. B. Chaudhuri, Handwritten Numeral Databases of Indian Scripts and Multistage Recognition of Mixed Numerals, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.3, pp.444-457, 2009.
DOI : 10.1109/TPAMI.2008.88

T. K. Bhowmik, S. K. Parui, U. Bhattacharya, and B. Shaw, An HMM Based Recognition Scheme for Handwritten Oriya Numerals, 9th International Conference on Information Technology (ICIT'06), pp.105-110, 2006.
DOI : 10.1109/ICIT.2006.29

J. Coetzer, Off-line Signature Verification, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00103737

T. E. De-campos, B. R. Babu, and M. Varma, Character recognition in natural images, VISAPP, pp.273-280, 2009.

S. R. Deans, Applications of the Radon Transform, 1983.

J. Flusser, On the independence of rotation moment invariants, Pattern Recognition, vol.33, issue.9, pp.1405-1410, 2000.
DOI : 10.1016/S0031-3203(99)00127-2

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

G. H. Granlund, Fourier Preprocessing for Hand Print Character Recognition, IEEE Transactions on Computers, vol.21, issue.2, pp.195-201, 1972.
DOI : 10.1109/TC.1972.5008926

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. Hopkins and T. L. Andersen, <title>A Fourier-descriptor-based character recognition engine implemented under the Gamera open-source document-processing framework</title>, Document Recognition and Retrieval XII, pp.111-118, 2005.
DOI : 10.1117/12.589218

A. K. Jain, R. P. Duin, and J. Mao, Statistical pattern recognition: a review, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.1, pp.4-37, 2000.
DOI : 10.1109/34.824819

M. Khoddami and A. Behrad, Farsi and Latin script identification using curvature scale space features, 10th Symposium on Neural Network Applications in Electrical Engineering, pp.213-217, 2010.
DOI : 10.1109/NEUREL.2010.5644061

W. Kim and Y. Kim, A region-based shape descriptor using Zernike moments, Signal Processing: Image Communication, pp.95-102, 2000.
DOI : 10.1016/S0923-5965(00)00019-9

S. Kopf, T. Haenselmann, and W. Effelsberg, Enhancing Curvature Scale Space Features for Robust Shape Classification, 2005 IEEE International Conference on Multimedia and Expo, pp.478-481, 2005.
DOI : 10.1109/ICME.2005.1521464

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

R. Plamondon and S. N. 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

J. R. , S. R. Kolhe, and P. M. , Dynamic time warping based static hand printed signature verification, PRR, vol.4, issue.1, pp.52-65, 2009.

S. Salvador and P. Chan, Toward accurate dynamic time warping in linear time and space, Intell. Data Anal, vol.11, pp.561-580, 2007.

R. Shinghal and C. Suen, A Method for Selecting Constrained Hand-Printed Character Shapes for Machine Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.4, issue.1, pp.74-78, 1982.
DOI : 10.1109/TPAMI.1982.4767199

S. Tabbone, L. Wendling, and J. Salmon, A new shape descriptor defined on the Radon transform, Computer Vision and Image Understanding, vol.102, issue.1, pp.42-51, 2006.
DOI : 10.1016/j.cviu.2005.06.005
URL : https://hal.archives-ouvertes.fr/inria-00000643

M. Tepper, D. Acevedo, N. A. Goussies, J. C. Jacobo, and M. Mejail, A decision step for Shape Context matching, 2009 16th IEEE International Conference on Image Processing (ICIP), pp.409-412, 2009.
DOI : 10.1109/ICIP.2009.5414443

D. Zhang and G. Lu, Shape-based image retrieval using generic Fourier descriptor, Signal Processing: Image Communication, pp.825-848, 2002.
DOI : 10.1016/S0923-5965(02)00084-X

D. Zhang and G. Lu, Review of shape representation and description techniques, Pattern Recognition, vol.37, issue.1, pp.1-19, 2004.
DOI : 10.1016/j.patcog.2003.07.008

A. K. Ivind-due-trier, T. Jain, and . 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