Recognition of fingerprints enhanced by contourlet transform with artificial neural networks
Küçük Resim Yok
Tarih
2006
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In order to ensure that the performance of a fingerprint recognition system will be powerful with respect to the quality of input fingerprint images, it is essential which requires the enhancement of fingerprint images. Two methods are proposed for fingerprint image enhancement in this study. The first one is performed using local histogram equalization and noise reduction filters. In the second method a wavelet transform and a contourlet transform which is a new extension of the wavelet transform in two dimensions are applied. A method is also developed to recognize fingerprints by using artificial neural network (ANN) which is trained by dataset, called FingerCode, obtained from a filterbank. For every fingerprint, fixed length feature vectors are obtained and these vectors are applied a matching process by using ANN. Experimental results show that the recognition rate of ANN using the obtained feature vectors after enhanced by contourlet transform is 99.6%.
Açıklama
28th International Conference on Information Technology Interfaces -- JUN 19-22, 2006 -- Cavtat, CROATIA
Anahtar Kelimeler
fingerprint recognition, fingerprint enhancement, filterbank, image denoising, neural network
Kaynak
ITI 2006: PROCEEDINGS OF THE 28TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY INTERFACES
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
