Title :
Elimination of alignment stage in feature extraction for a Slepian-Wolf fingerprint biometric system
Author :
Marouzi, S. ; Hodtani, Ghosheh Abed
Author_Institution :
Dept. of Electr. Eng, Sadjad Inst. of Higher Educ., Mashhad, Iran
Abstract :
In this paper, a simple method for extracting fingerprint features is presented. Feature extraction is carried out with regard to system requirement, in order to safely save the biometrics. In the feature extraction stage of previous methods, fingerprint images should always be aligned in the beginning. In our method the features are extracted in such a way that rotation and translation have no effect on the data obtained, and hence we don´t need the alignment stage, which leads to easier implementation of biometric systems.
Keywords :
feature extraction; fingerprint identification; Slepian-Wolf fingerprint biometric system; alignment stage elimination; biometric systems; fingerprint feature extraction; fingerprint images; system requirement; Authentication; Biometrics (access control); Encoding; Feature extraction; Fingerprint recognition; Parity check codes; Vectors; Slepian-Wolf; alignment; biometric; feature extraction; fingerprint;
Conference_Titel :
Telecommunications (IST), 2012 Sixth International Symposium on
Conference_Location :
Tehran
Print_ISBN :
978-1-4673-2072-6
DOI :
10.1109/ISTEL.2012.6483154