An Overview of Fingerprint Classification Techniques

2018 International Journal for Research in Applied Science and Engineering Technology  
Fingerprint-based systems were mostly used for authentication of individual's information and its identity by comparing with data stored in a database. To reduce processing time and search area Fingerprints classes are divided into five such as: Arch, Tented Arch, Whorl, Left Loop and Right Loop. There are different classifiers that have been used to develop fingerprint classification techniques, these are 1)Rule-based, 2)Syntactic, 3)Structural, 4)Statistical, 5)Neural network, 6) Gender
more » ... rk, 6) Gender based. All of the above mentioned classifiers or classification techniques are based on machine learning processes. Machine learning (ML) techniques were accurate and fast in processing. In present paper the selective approaches for fingerprint classification techniques has been reviewed.
doi:10.22214/ijraset.2018.4041 fatcat:ffflu7qh6vbl3n6xnqjgjuhtrm