The week's pick
Reseach Article
Kannada and English Numeral Recognition System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 26 - Number 9 |
| Year of Publication: 2011 |
| Authors: B.V.Dhandra, Gururaj Mukarambi, Mallikarjun Hangarge |
10.5120/3133-4318
|
B.V.Dhandra, Gururaj Mukarambi, Mallikarjun Hangarge . Kannada and English Numeral Recognition System. International Journal of Computer Applications. 26, 9 ( July 2011), 17-22. DOI=10.5120/3133-4318
Abstract
In this Paper, zone based features are used for recognition of handwritten and printed Kannada and English numerals. The handwritten and printed Kannada and English numeral images are normalized into 32 x 32 dimensions. Then normalized images are divided into 64 zones and their pixel densities are used as feature vector. Thus, the dimension of feature vector is 64. The handwritten and printed Kannada and English numerals are tested for classifications on 4,000 sample images as an experiment and obtained an accuracy of 95.25% for KNN classifier and 97.05% for SVM classifier for mixed numeral inputs with 2-Fold cross validation for handwritten and printed Kannada and English numerals. A total of 40 classes have been reduced to 19 classes pertaining to handwritten and printed Kannada numerals and handwritten and printed English numerals to enable to increase the recognition accuracy. The novelty of the proposed algorithm is thinning free, independent of slant of the characters.
References
- A.F.R.Rahman, M.C.Fairhurst, “Recognition of handwritten Bengali Characters: A Novel Multistage Approach”, Pattern Recognition, pp. 997-1006, 2002.
- R. Chandrashekaran, M. Chandrasekaran, Gift Siromaney, “Computer Recognition of Tamil, Malayalam and Devanagari characters”, Journal of IETE, Vol.30, No.6, 1984.
- U. Pal, N. Sharma, F. Kimura, "Recognition of Handwritten Kannada Numerals", 9th International Conference on Information Technology (ICIT'06), pp. 133-136, 2006.
- Dinesh Acharya U, N. V. Subba Reddy and Krishnamurthy, “Isolated handwritten Kannada numeral recognition using structural feature and K-means cluster”, pp.125 - 129, IISN-2007.
- B. V. Dhandra, Mallikarjun Hangarge, Gururaj Mukarambi, ”Spatial Features for Handwritten Kannada and English Character Recognition”, Special Issue on RTIPPR-10, International Journal of Computer Applications, pp.146-150, Aug-2010.
- S.V.Rajashekararadhya and P. V. Vanaja Ranjan,”Neural network based handwritten numeral recognition of Kannada and Telugu scripts”, TENCON 2008.
- B. V. Dhandra, Mallikarjun Hangarge, Gururaj Mukarambi, "Spatial Features for Multi-Font/Multi-Size Kannada Numerals Recognition”, International Conference on Communication, Computation, Control and Nano Technology (ICN-2010), Bhalki, Bidar, Karnataka, India.
- B. V. Dhandra, Gururaj Mukarambi, Mallikarjun Hangarge,” Zone Based Features for Handwritten and Printed Mixed Kannada Digits Recognition”, International Conference on VLSI, Communication & Instrumentation (ICVCI) 2011 Proceedings published by International Journal of Computer Application (IJCA), 2011.
- Basavaraj Patil, "Neural Network based Bilingual OCR System: Experiment with English and Kannada Bilingual Documents”, International Journal of Computer Applications (0975 – 8887) Volume 13– No.8, pp. No 6-14, Jan-2011.
- B.V.Dhandra, Gururaj Mukarambi, Mallikarjun Hangarge, “Handwritten Kannada Vowels and English Character Recognition System”, International Conference on Computer Science and Information System (CSIT), Bangalore, 2011.
- B.V. Dhandra, R.G.Benne and Mallikarjun Hangargi, “Script Independent Handwritten Numeral Recognition with structural features”, ICISP-2009, pp 431-434, Mysore.
- B. B. Chaudhuri and U. Pal. An OCR system to read two Indian language scripts: Bangla and Devanagari (Hindi). In Proceedings of ICDAR, pages 1011–1015, 1997.
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