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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) Genderdoi:10.22214/ijraset.2018.4041 fatcat:ffflu7qh6vbl3n6xnqjgjuhtrm