A new approach for fingerprint recognition based on mel frequency cepstral coefficients

Author

Hashad, F.G. ; Halim, T.M. ; Diab, S.M. ; Sallam, B.M.

Author_Institution

Dept. of Electron. & Electr. Commun., Menoufia Univ., Menouf, Egypt

fYear

2009

fDate

14-16 Dec. 2009

Firstpage

263

Lastpage

268

Abstract

This paper presents a new fingerprint identification method based on mel frequency cepstral coefficients (MFCCs). This method is based on the transformation of the fingerprint images into a 1-D signals and the extraction of the MFCCs from these signals. Feature matching is performed in the proposed method using neural networks. Wavelet transform of the 1-D fingerprint signals can be used for extraction of much more MFCCs to assist in the recognition process. Also wavelet denoising can be used to reduce noise. Experimental results show that the proposed method is robust in the presence of noise.

Keywords

cepstral analysis; feature extraction; fingerprint identification; image denoising; image matching; wavelet transforms; 1-D fingerprint signals; feature matching; fingerprint recognition; mel frequency cepstral coefficients; neural networks; noise reduction; wavelet denoising; wavelet transform; Discrete wavelet transforms; Feature extraction; Fingerprint recognition; Mel frequency cepstral coefficient; Neural networks; Noise reduction; Noise robustness; Signal processing; Speech enhancement; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering & Systems, 2009. ICCES 2009. International Conference on

Conference_Location

Cairo

Print_ISBN

978-1-4244-5842-4

Electronic_ISBN

978-1-4244-5843-1

Type

conf

DOI

10.1109/ICCES.2009.5383272

Filename

5383272