Title :
Fingerprint recognition using fuzzy artmap neural network architecture
Author :
Dagher, Issam ; Helwe, Wael ; Yassine, Firass
Author_Institution :
Dept. of Comput. Eng., Balamand Univ., El Koura, Lebanon
Abstract :
In this paper, a neural network architecture, Fuzzy Artmap (FAM), was used to classify fingerprints. A fingerprint database of the University of Balamand (UOB) was created. The algorithm uses the filterbank representation which captures the local and global details in a fingerprint as a 320-byte fixed length FingerCode which is suitable for storage. In the first stage, the fingerprint is classified using FAM to one of the five categories (whorl, left loop, right loop, arch, and tented arch). Then, the algorithm matches the fingerprint by searching in the specific category in the database. Matching is done using the two corresponding FingerCodes and thus, is very fast.
Keywords :
feature extraction; fingerprint identification; fuzzy neural nets; image classification; image matching; neural net architecture; 320 bytes; FAM; UOB; University of Balamand; arch; filterbank representation; fingerprint database; fingerprint matching; fingerprint recognition; fixed length fingercode; fuzzy artmap; left loop; neural network architecture; right loop; tented arch; whorl; Authentication; Biometrics; Computer architecture; Fingerprint recognition; Frequency; Fuzzy neural networks; Image databases; Image matching; Neural networks; Spatial databases;
Conference_Titel :
Microelectronics, The 14th International Conference on 2002 - ICM
Print_ISBN :
0-7803-7573-4
DOI :
10.1109/ICM-02.2002.1161519
