DocumentCode :
2494147
Title :
A new approach for fuzzy feature extraction based on pixel´s brightness
Author :
Lopez, M. ; Melin, P. ; Castillo, O.
Author_Institution :
Div. of Grad. Studies & Res., Tijuana Inst. of Technol., Tijuana, Mexico
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
7
Abstract :
In this paper we propose a feature extraction method based on brightness control of the pixels of an image using a fuzzy logic inference system. The proposed method was used in a hybrid pattern recognition system of the fingerprints, to improve the identification rate. The fuzzy extraction method preprocesses the fingerprint images and adjusts the brightness. The obtained image is input to the ensemble neural network (ENN), the ENN output is based on response integration with type-1 and type-2 fuzzy logic to obtain the fingerprint identification.
Keywords :
feature extraction; fingerprint identification; fuzzy logic; fuzzy reasoning; neural nets; ensemble neural network; fingerprint image identification; fuzzy feature extraction method; hybrid pattern recognition system; pixels brightness control; type-1 fuzzy logic inference system; type-2 fuzzy logic inference system; Artificial neural networks; Biological cells; Brightness; Fingerprint recognition; Fuzzy logic; Gallium; Pixel; Features Extraction Images; Fuzzy Logic Type-1 and Type-2; Pattern Recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
ISSN :
1098-7576
Print_ISBN :
978-1-4244-6916-1
Type :
conf
DOI :
10.1109/IJCNN.2010.5596741
Filename :
5596741
Link To Document :
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