DocumentCode :
2279803
Title :
Knotless spline noise removal technique for improved OHCR
Author :
Lajish, V.L. ; Pandey, Vinod Kumar ; Kopparapu, Sunil Kumar
Author_Institution :
TCS Innovation Labs. - Mumbai, Tata Consultancy Services Ltd., Thane, India
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
305
Lastpage :
308
Abstract :
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%.
Keywords :
Gaussian processes; handwritten character recognition; image denoising; optical character recognition; smoothing methods; Devanagari data; Gaussian smoothing; character recognition system; improved OHCR; knotless spline noise removal technique; natural hand shaking; on-line hand written characters; Character recognition; Handwriting recognition; Noise measurement; Signal to noise ratio; Smoothing methods; Spline; Gaussian filters; On-line Handwritten Character Recognition; knotless spline; smoothing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing (ICSIP), 2010 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-8595-6
Type :
conf
DOI :
10.1109/ICSIP.2010.5697488
Filename :
5697488
Link To Document :
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