Knotless spline noise removal technique for improved OHCR

Noise in on-line hand written characters due to natural shaking of the hand and noise due to the process of digitization is inherent and this can lead to a degraded performance of character recognition system. In this paper, we propose a noise removal technique based on knotless spline. We first show that its noise removal property is independent of the amount of noise unlike the traditional Gaussian smoothing and further show that the noise removal can significantly enhance the performance of the character recognition algorithm. We specifically perform experiments with Devanagari data and show that the noise removal can enhance the performance of character recognition by as much as 10%.

[1]  Sunil Kumar Kopparapu,et al.  Fuzzy Directional Features for unconstrained on-line Devanagari handwriting recognition , 2010, 2010 National Conference On Communications (NCC).

[2]  Anil K. Jain,et al.  On-line handwritten document understanding , 2004 .

[3]  Sriganesh Madhvanath,et al.  Machine recognition of online handwritten Devanagari characters , 2005, Eighth International Conference on Document Analysis and Recognition (ICDAR'05).

[4]  M. Tahar Kechadi,et al.  Preprocessing Techniques for Online Handwriting Recognition , 2007, Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007).

[5]  C. R. Deboor,et al.  A practical guide to splines , 1978 .

[6]  Anil K. Jain,et al.  Online handwritten script recognition , 2004 .

[7]  Ching Y. Suen,et al.  The State of the Art in Online Handwriting Recognition , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

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