HANDWRITTEN MARATHI CHARACTER (VOWEL) RECOGNITION

Ajmire P.E.¹*, Warkhede S.E.²*
¹G. S. Sci., Arts & Comm. College, Khamgaon
²S.S.A, Z.P.Buldhana
* Corresponding Author : ssabuldhana1@yahoo.co.in

Received : -     Accepted : -     Published : 21-12-2010
Volume : 2     Issue : 2       Pages : 11 - 13
Adv Inform Min 2.2 (2010):11-13

Keywords : Handwritten character recognition, invariant moments.
Conflict of Interest : None declared

The work in this paper is deals with the recognition of handwritten Marathi vowels. Marathi is an Indo-Aryan language spoken by about 71 million people mainly in the Indian state of Maharashtra and neighbouring states. Marathi is also spoken in Israel and Mauritius. Marathi is thought to be a descendent of Maharashtri, one of the Prakrit languages which developed from Sanskrit. This work is based on invariant moments for recognition of isolated Marathi Handwritten Characters and their divisions. The proposed technique is independent of size, slant, orientation, translation and other variations in handwritten characters. Handwritten Marathi Characters/Numerals are more complex for recognition than corresponding English characters due to many possible variations in order, number, direction and shape of the constituent strokes. The work treats isolated Characters as an image of 40X40 pixel size. Seven invariant central moments of the image and two additional feature sets are evaluated. 10 samples of each number from 20 different writers have been sampled and prepared a database has been made. Seven central invariant moments are evaluated for each character and its parts by dividing it by two different ways. In all, there are 14 features corresponding to each character. The Gaussian Distribution Function has been adopted for classification. The average success rate of some vowels is compatible.

[1] Jannoud I.A. (2007) American Journal of Applied Sciences 4 (11): 857-864  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[2] Tour Wakahara, Y. Kimura & Mutsuo (2001) Handwritten Japanees Character Recognition Using Adaptive Normalization by Global Affine Transformation. Proc. 6th ICDAR Vol., Issue  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[3] Mitrpanont J.L., Limkonglap U. (2007) Using Countour Analysis to improve Feature Extraction in Thai Handwritten Character Recognition Systems. Proc. 7th IEEE ICCIT  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[4] Pal U., Sharma N., Wakabayashi T. and Kimura F. (2007) Off-line Handwritten character recognition of Devnagari Script. 9th ICDAR.  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[5] Bhowmik T.K., Roy A. and Roy U. (2005) Character Segmentation for Handwritten Bangla Words using Artificial Neural Network. Proc.1st IAPR TC3 NNLDAR  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[6] Ramteke R.J., Borkar P.D., Mehrotra S.C.(2005) Proc. of International Conference on Cognition and Recognition (ICCR 2005), Mysore, (Karnataka), India, 482 - 489.  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[7] Swethalakshmi H., Anitha Jayaraman, Srinivasa Chakravarthy V., Chandra Sekhar C. (2006) Tenth International Workshop on Frontiers in Handwriting Recognition, HAL: inria-00104402, version 1  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[8] Deshpande P.S., Latesh Malik, Sandhya Arora (2007) Handwritten Devnagari Character Recognition Using Connected Segments And Minimum Edit Distance. IEEE 2007  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[9] Ajmire P.E., Talwankar D.S. and Ramteke R.J. (2008) Recognition of Fossil Leaves Genera (Lower Gondwana Flora). Proc.of 1st Int. Conf. on ACVIT, 8, 1302-1306  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus  

[10] Ramteke R.J., Mehrotra S.C. (2006) Feature Extraction Based on Invariants Moment for Handwriting Recognition, Proc. of 2nd IEEE Int. Conf. on Cybernetics Intelligent System (CIS2006), Bangkok  
» CrossRef   » Google Scholar   » PubMed   » DOAJ   » CAS   » Scopus