The week's pick
Random Articles
Reseach Article
Kannada Handwritten numeral Recognition using FFBPNN Classifiers
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 91 - Number 5 |
| Year of Publication: 2014 |
| Authors: Ashoka H N, Manjaiah D H, Rabindranath Bera |
10.5120/15877-4838
|
Ashoka H N, Manjaiah D H, Rabindranath Bera . Kannada Handwritten numeral Recognition using FFBPNN Classifiers. International Journal of Computer Applications. 91, 5 ( April 2014), 17-21. DOI=10.5120/15877-4838
Abstract
This paper presents the performance of Kannada handwritten numeral recognition using feed forward back propagation neural network (FFBPNN) classifiers. The classifier is designed to recognize the Kannada handwritten numerals. Samples are represented by the few features extracted by the zoning technique. The input numeral samples in binary form are stored in a fixed window size of 12x12 and partitioned into nine sub regions of 4x4 sizes for their representation. A normalized feature value is computed by the one's present each sub region for their representation in two different approaches. On experimentation, it is found the overall recognition rate of 99. 7% and 95. 5% for the feature extraction approaches M1 and M2 respectively.
References
- Øivind Due Trier, Anil K. Jain and Torfinn Taxt "Feature Extraction Methods for Character Recognition- A Survey" Pattern Recognition, Vol. 29 No. 4, 1996, pp 641-662.
- Nafiz Arica, Fatos T. Yarman-Vural, "An Overview of Character Recognition Focused on Off-line Handwriting", IEEE Transactions on system Man. Cybernetics-Part C: Applications and Reviews, vol. 31 no. 2 2001, pp. 216-233.
- Sabri A. Mahmoud "Recognition of writer-independent off-line handwritten Arabic (Indian) numerals using hidden Markov models. " Signal Processing, Vol. 88, No. 4, 2008, pp - 844-857.
- U. Pal, B. B. Chaudhuri, ''Indian Script Character recognition: A survey'', Pattern Recognition, vol. 37, 2004,pp 1887-1899.
- Hanmandlu M. , and Murthy O. V. R. , "Fuzzy model based recognition of handwritten numerals" Pattern Recognition, vol. 40, 2007,pp 1840 – 1854.
- Om Prakash Sharma, M. K. Ghose, Krishna Bikram Shah "An Improved Zone Based Hybrid FeatureExtraction Model for Handwritten Alphabets Recognition Using Euler Number" International Journal of Soft Computing and Engineering, , Vol-2, no. 2, May 2012 ,504-508.
- Rajashekararadhya S. V. and Vanaja Ranjan P. , "Efficient zone based feature extraction algorithm for handwritten numeral recognition of four popular south Indian scripts", Journal of Theoretical and Applied Information Technology, 2005, pp 1171- 1181.
- Dinesh Acharya U, N V Subba Reddy and Krishnamoorthi, "Multilevel classifiers in recognition of Handwritten Kannada numerals", World Academy of Science, Engineering and Technology vol. 18, 2008, pp-278-283.
- Dhandra B. V. , Gururaj Mukarmbi, and Mallikarjun Hangarge, "A script independent approach for handwritten bi-lingual Kannada and Telugu digits recognition" International Journal of Machine Intelligence, Vol. 3 No. 3, 2011, PP- 155 -159.
- Umapada Pala, Partha Pratim Royb, Nilamadhaba Tripathya and Josep Lladósb, Multi-oriented Bangla and Devnagari text recognition Pattern Recognition, Vol. 43, No. 12, 2010, pp 4124-4136.
- Ashoka H. N, Manjaiah D. H, Rabindranath Bera "Feature Extraction Technique for Neural Network Based Pattern Recognition", International Journal on Computer Science and Engineering (IJCSE), pp 331-339.
- Benne R. G. , Dhandra B. V. and Mallikarjun Hangarge, "Tri-scripts handwritten numeral recognition: a novel approach" Advances in Computational Research, ISSN: 0975–3273, Volume 1, Issue 2, 2009, pp 47-51.
- Ashoka H. N, Manjaiah D. H, Rabindranath Bera "Zone Based Feature Extraction and Statistical Classification Technique for Kannada Handwritten Numeral Recognition" International Journal of Computer Science & Engineering Technology (IJCSET), 476-482.
Index Terms
Keywords