DocumentCode :
2810243
Title :
A novel multistage classification and Wavelet based kernel generation for handwritten Marathi compound character recognition
Author :
Shelke, Sushama ; Apte, Shaila
Author_Institution :
Electron. & Telecommun., Pune Inst. of Comput. Technol., Pune, India
fYear :
2011
fDate :
10-12 Feb. 2011
Firstpage :
193
Lastpage :
197
Abstract :
This paper presents a novel approach for recognition of unconstrained handwritten Marathi compound characters. The recognition is carried out using multistage feature extraction and classification scheme. The initial stages of feature extraction are based upon the structural features and the classification of the characters is done according to their parameters. The final stage of feature extraction employs generation of kernels using Wavelet transform. A single level Wavelet decomposition is used to generate the approximation coefficients. These coefficients are stored as kernels for matching. A modified wavelet based kernel generation method is also implemented. The recognition is done by template matching in both the cases. The results are analyzed using both the kernel generation techniques for varying resize factors. The recognition rate achieved from the proposed method is 95.89% and 96.00% for 16×16 and 32×32 resize factors respectively with wavelet based kernels and 96.41% and 97.94% for 16×16 and 32×32 resize factors respectively with modified wavelet based kernels.
Keywords :
feature extraction; handwritten character recognition; image classification; image matching; wavelet transforms; handwritten Marathi compound character recognition; modified wavelet based kernel generation; multistage classification method; multistage feature extraction; template matching; unconstrained handwritten Marathi compound characters; Character recognition; Handwriting recognition; Manganese; TV; Wavelet transform; convolution; handwritten Marathi compound characters; structural features;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing (ICCSP), 2011 International Conference on
Conference_Location :
Calicut
Print_ISBN :
978-1-4244-9798-0
Type :
conf
DOI :
10.1109/ICCSP.2011.5739299
Filename :
5739299
Link To Document :
بازگشت