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