Title :
Class-oriented recognizer design by weighting local decisions
Author :
Impedovo, S. ; Pirlo, G.
Author_Institution :
Dipt. di Informatica, Universita degli Studi di Bari, Italy
Abstract :
The paper presents a new technique for the design of class-oriented recognizer. For each recognizer, a generic technique is used to determine, in an optimal way, the weights to balance the local decisions obtained from the analysis by parts of the patterns of the specific class. The experimental results, that have been obtained in the field of handwritten numeral and character recognition, demonstrate the superiority of the new technique with respect to other traditional approaches.
Keywords :
decision theory; handwritten character recognition; optimisation; pattern classification; class-oriented recognizer design; generic technique; handwritten character recognition; handwritten numeral recognition; local decision weighting; optimization problem; pattern classification; Character recognition; Genetic algorithms; Handwriting recognition; Image analysis; Image databases; Impedance; Pattern analysis; Pattern classification; Pattern recognition; Writing;
Conference_Titel :
Image Analysis and Processing, 2003.Proceedings. 12th International Conference on
Print_ISBN :
0-7695-1948-2
DOI :
10.1109/ICIAP.2003.1234128
