Handwritten Cursive Jawi Character Recognition: A Survey

The subject of cursive handwritten character recognition is still open to be studied because of its complex nature. Recognition of Arabic handwritten and its variants such as Farsi (Persian) and Urdu had been receiving considerable attention in recent years. Numerous methods for recognizing Arabic characters have been proposed and applied to various types of images. These research highlights have not yet been given to another variant of Arabic which is the Jawi script. This paper provides a comprehensive review of existing works in handwritten Jawi character recognition. It includes the history and writing of Jawi, and challenges, current works, and future direction of Jawi character recognition system.

[1]  Alexander Kadyrov,et al.  The Trace Transform and Its Applications , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Hamid Amiri,et al.  Arabic Handwritten Words Recognition Based on a Planar Hidden Markov Model , 2005, Int. Arab J. Inf. Technol..

[3]  David Eppstein.  The Farthest Point Delaunay Triangulation Minimizes Angles , 1991, Comput. Geom..

[4]  M. A. Bayoumi,et al.  A thinning algorithm for Arabic characters using ART2 neural network , 1998 .

[5]  Volker Märgner,et al.  Arabic Handwriting Recognition Competition , 2005, ICDAR.

[6]  S.A. Khan,et al.  Urdu online handwriting recognition , 2005, Proceedings of the IEEE Symposium on Emerging Technologies, 2005..

[7]  Venu Govindaraju,et al.  Offline Arabic handwriting recognition: a survey , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  R. J. Green,et al.  Recognition of Handwritten Cursive Arabic Characters , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Chafic Mokbel,et al.  Arabic handwriting recognition using baseline dependant features and hidden Markov modeling , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

[10]  P. Adibi,et al.  NASTAALIGH HANDWRITTEN WORD RECOGNITION USING A CONTINUOUS-DENSITY VARIABLE-DURATION HMM , 2005 .

[11]  Ching Y. Suen,et al.  Thinning Methodologies - A Comprehensive Survey , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Ching Y. Suen,et al.  A fast parallel algorithm for thinning digital patterns , 1984, CACM.

[13]  David Eppstein.  The farthest point Delaunay triangulation minimizes angles , 1992 .

[14]  Volker Märgner,et al.  ICDAR 2009-Arabic handwriting recognition competition , 2011, 2011 International Conference on Document Analysis and Recognition.

[15]  Nabil Jean Naccache,et al.  SPTA: A proposed algorithm for thinning binary patterns , 1984, IEEE Transactions on Systems, Man, and Cybernetics.

[16]  Muhammad Naguib Syed Al-Attas.  Preliminary statement on a general theory of the Islamization of the Malay-Indonesian Archipelago , 1969 .

[17]  F. Haj-Hassan,et al.  Arabic character recognition , 1990 .

[18]  Neil W. Bergmann,et al.  An Arabic optical character recognition system using recognition-based segmentation , 2001, Pattern Recognit..

[19]  Sargur N. Srihari,et al.  On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Saeed Bagheri Shouraki,et al.  A novel fuzzy approach to recognition of online Persian handwriting , 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).

[21]  Azriel Rosenfeld,et al.  Some Parallel Thinning Algorithms for Digital Pictures , 1971, JACM.

[22]  A. Dehghani,et al.  Off-line recognition of isolated Persian handwritten characters using multiple hidden Markov models , 2001, Proceedings International Conference on Information Technology: Coding and Computing.