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Contactless Fingerprint Identification using Deep Learning

Sayali Waman Pawar, Computer Dept, RMD Sinhgad School Warje, Pune

Sakshi Anil Kumbhar, Computer Dept, RMD Sinhgad School Warje, Pune

Aishwariya Jayachandran Nair, Computer Dept, RMD Sinhgad School Warje, Pune

Mayuri Sanjay Zade, Computer Dept, RMD Sinhgad School Warje, Pune

Prof. Sonal Fatangare, Computer Dept, RMD Sinhgad School Warje, Pune

Abstract – With the largescale manufacturing and dispersion of electronic devices have been crucial in the realization of the increased utilization by the majority of the populace. There have been exponential advances in the technology that have been passed on to these devices to make them better and improve the experience of the users. Due to the fact that these devices are personal devices and they consist of a considerable amount of sensitive and personal data that needs to remain private and secure. These devices are therefore being introduced with a host of security features, amongst which the biometric authentication mechanisms have been getting popular. This popularity of the biometric authentication is due to the fact these are almost impossible to beat and are very convenient form of authentication. The most widely used biometric authentication mechanism or sensor is the fingerprint sensor, which is being found on majority of the devices nowadays. These sensors are useful and effective for the realization of the privacy of the users, but these scanners are not used by individuals due to hygiene concerns. Therefore, there is a need for an effective framework for contactless fingerprint identification that has been detailed in this article. The proposed approach utilizes Convolutional Neural Network along with decision making to achieve the contactless fingerprint recognition accurately.

Keywords: Biometric Verification, Contactless Fingerprint identification, Image processing, Convolutional Neural Networks.