Decision Theoretic and Structural Pattern Recognition Methods in Speech Processing

Author(s):  
L. Saitta
Author(s):  
AMAR GUPTA ◽  
M.V. NAGENDRAPRASAD ◽  
A. LIU ◽  
P.S.P. WANG ◽  
S. AYYADURAI

A multi-staged system for off-line handwritten numeral recognition is presented here. After scanning, the digitized binary bitmap image of the source document is passed through a preprocessing stage which performs segmentation, thinning and rethickening, normalization, and slant correction. The recognizer is a three-layered neural net trained with back-propagation algorithm. While a few systems that use three-layered nets for recognition have been presented in the literature, the contribution of our system is based on two aspects: elaborate preprocessing based on structural pattern recognition methods combined with a neural net based recognizer; and integration of neural net based and structural pattern recognition methods to produce high accuracies.


2008 ◽  
Vol 83 (2-3) ◽  
pp. 421-424 ◽  
Author(s):  
S. Dormido-Canto ◽  
G. Farias ◽  
R. Dormido ◽  
J. Vega ◽  
J. Sánchez ◽  
...  

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