CHAIN CODE AND HOLISTIC FEATURES BASED OCR SYSTEM FOR PRINTED DEVANAGARI SCRIPT USING ANN AND SVM

Optical Character Recognition Systems are getting more and more attention in recent decade. In many countries, OCR has been a part of their government sectors like post offices, Library automation, License Plate Recognition, Defence organization etc. According to recent survey, there are at least 550 million people are using Devanagari script for communication. Hindi is one of the language, which is derived from Devanagari script. For any character recognition system, essential step is to identify individual character and find features to compare it with the template features. In this paper, we have proposed histogram based hierarchical approach for isolating individual character from the image document. We have used Principle Component Analysis and Fisher Discriminant Analysis kind of holistic features for recognition. We have done the comparisons of such holistic features with geometric features like binary features and chain code.

[1]  Veena Bansal,et al.  Integrating knowledge sources in Devanagari text recognition system , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[2]  Theodosios Pavlidis,et al.  On the Recognition of Printed Characters of Any Font and Size , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  M. Nixon,et al.  Human gait recognition in canonical space using temporal templates , 1999 .

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

[5]  Santanu Chaudhury,et al.  Bengali alpha-numeric character recognition using curvature features , 1993, Pattern Recognit..

[6]  V. Vijay Kumar,et al.  Segmentation of Printed Text in Devanagari Script and Gurmukhi Script , 2010 .

[7]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[8]  Marc Parizeau,et al.  Model-based online handwritten digit recognition , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[9]  Santanu Chaudhury,et al.  Devnagari numeral recognition by combining decision of multiple connectionist classifiers , 2002 .

[10]  Robert Sabourin,et al.  Large vocabulary off-line handwriting recognition: A survey , 2003, Pattern Analysis & Applications.

[11]  Dit-Yan Yeung,et al.  Elastic structural matching for online handwritten alphanumeric character recognition , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[12]  Alex Pentland,et al.  Face recognition using eigenfaces , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[13]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[14]  Anilkumar N. Holambe,et al.  Printed and Handwritten Character & Number Recognition of Devanagari Script using Gradient Features , 2010 .

[15]  Bidyut Baran Chaudhuri,et al.  A complete printed Bangla OCR system , 1998, Pattern Recognit..

[16]  Lambertus Schomaker,et al.  A Handwriting Recognition System based on the Properties and Architectures of the Human Motor System , 1990 .

[17]  Mahesh Goyani,et al.  Performance Analysis of Lip Synchronization Using LPC, MFCC and PLP Speech Parameters , 2010, 2010 International Conference on Computational Intelligence and Communication Networks.

[18]  Chandra Shekhar Yadav,et al.  Optical Character Recognition (OCR) for Printed Devnagari Script Using Artificial Neural Network , 2010 .

[19]  Habibollah Haron,et al.  The Mapping Algorithm of Triangular Vertex Chain Code from Thinned Binary Image , 2011, SPIT/IPC.

[20]  V. K. Govindan,et al.  Character recognition - A review , 1990, Pattern Recognit..

[21]  Zbigniew Les,et al.  Testing Visual Abilities of Machines - Visual Intelligence Tests , 2005, IEC.

[22]  Bidyut Baran Chaudhuri,et al.  Indian script character recognition: a survey , 2004, Pattern Recognit..

[23]  Rama Chellappa,et al.  Human and machine recognition of faces: a survey , 1995, Proc. IEEE.

[24]  Ulrich Bodenhausen,et al.  A connectionist recognizer for on-line cursive handwriting recognition , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.