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|Title:||Fingerprint recognition using fuzzy artmap neural network architecture||Authors:||Dagher, Issam
|Affiliations:||Department of Computer Engineering||Keywords:||Neural net architecture
Fuzzy neural nets
|Subjects:||Fingerprints--Identification||Issue Date:||2003||Publisher:||IEEE||Part of:||The 14th International Conference on Microelectronics||Start page:||157||End page:||160||Conference:||International Conference on Microelectronics (ICM) (14th : 13 Dec 2002 : Beirut, 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.
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/564||Ezproxy URL:||Link to full text||Type:||Conference Paper|
|Appears in Collections:||Department of Computer Engineering|
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