Fingerprint classification using Support Vector Machine

• Main Authors: Alias, N. A., Radzi, N. H. M.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/73110/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991764210&doi=10.1109%2fICT-ISPC.2016.7519247&partnerID=40&md5=73373a6fead13a99b19ee6b09aa8a7a9
• Institution: Universiti Teknologi Malaysia

Fingerprint is one of the widely used biometric identification to identify the identity of a person due reliability and acceptability. Fingerprint classes are divided into five such as, arch, tented arch, left loop, right loop and whorl. The fingerprint classification provides indexing to the databa...