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Kamel Ahmed, M., Ismail Ibrahim, I., Bassiouny Nousair, Z., Mohamed Ahmed, N. (2006). COMPARATIVE STUDY FOR FINGERPRINT AUTOMATIC IDENTIFICATION TECHNIQUES. JES. Journal of Engineering Sciences, 34(No 1), 145-157. doi: 10.21608/jesaun.2006.110102
Mohamed Kamel Ahmed; Ibrahim Ismail Ibrahim; Zaki Bassiouny Nousair; Noha Mohamed Ahmed. "COMPARATIVE STUDY FOR FINGERPRINT AUTOMATIC IDENTIFICATION TECHNIQUES". JES. Journal of Engineering Sciences, 34, No 1, 2006, 145-157. doi: 10.21608/jesaun.2006.110102
Kamel Ahmed, M., Ismail Ibrahim, I., Bassiouny Nousair, Z., Mohamed Ahmed, N. (2006). 'COMPARATIVE STUDY FOR FINGERPRINT AUTOMATIC IDENTIFICATION TECHNIQUES', JES. Journal of Engineering Sciences, 34(No 1), pp. 145-157. doi: 10.21608/jesaun.2006.110102
Kamel Ahmed, M., Ismail Ibrahim, I., Bassiouny Nousair, Z., Mohamed Ahmed, N. COMPARATIVE STUDY FOR FINGERPRINT AUTOMATIC IDENTIFICATION TECHNIQUES. JES. Journal of Engineering Sciences, 2006; 34(No 1): 145-157. doi: 10.21608/jesaun.2006.110102

COMPARATIVE STUDY FOR FINGERPRINT AUTOMATIC IDENTIFICATION TECHNIQUES

Article 9, Volume 34, No 1, January and February 2006, Page 145-157  XML PDF (370.89 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2006.110102
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Authors
Mohamed Kamel Ahmed email ; Ibrahim Ismail Ibrahim email ; Zaki Bassiouny Nousair email ; Noha Mohamed Ahmed email
Faculty of Engineering, Helwan University , Cairo, Egypt
Abstract
This paper evaluates three different image representation techniques relative to fingerprint image modeling. The most popular image representation techniques such as Gabor filters, Discrete Fourier transform and Wavelet transform will be implemented and compared relative to fingerprint identification performance. The evaluation and comparison criteria using database of 80 persons with 12 fingerprint samples from each person. The multilayer perceptron neural network with back propagation training algorithm was used as a pattern classifier to evaluate the three mentioned image representation techniques. The obtained results showed that the average identification rate for the wavelet transform, Discrete Fourier transform and Gabor techniques are 97.9%, 93.9% and 88.1% respectively.
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
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