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AUTHENTICATION OF FINGERPRINT BIOMETRICS ACQUIRED USING A CELLPHONE CAMERA: A REVIEW

MOHAMMED S. KHALIL

Center of Excellence in Information Assurance, King Saud University, Riyadh, Saudi Arabia

FAJRI KURNIAWAN

Center of Excellence in Information Assurance, King Saud University, Riyadh, Saudi Arabia

KASHIF SALEEM

Center of Excellence in Information Assurance, King Saud University, Riyadh, Saudi Arabia

Received: 16 October 2012
Revised: 2 June 2013
Accepted: 2 June 2013
Published: 26 August 2013

Over the past decade, there have been dramatic increases in the usage of mobile phones in the world. Currently available smart mobile phones are capable of storing enormous amounts of personal information/data. The smart mobile phone is also capable of connecting to other devices, with the help of different applications. Consequently, with these connections comes the requirement of security to protect personal information. Nowadays, in many applications, a biometric fingerprint recognition system has been embedded as a primary security measure. To enable a biometric fingerprint recognition system in smart mobile phones, without any additional costs, a built-in high performance camera can be utilized. The camera can capture the fingerprint image and generate biometric traits that qualify the biometric fingerprint authentication approach. However, the images acquired by a mobile phone are entirely different from the images obtained by dedicated fingerprint sensors. In this paper, we present the current trend in biometric fingerprint authentication techniques using mobile phones and explore some of the future possibilities in this field.

Keywords: Authentication; biometric; camera; mobile phone; confidential; fingerprint; personal information; review
AMSC: 22E46, 53C35, 57S20
Cited by (4):
, , , . (2016) Harmonized authentication based on ThumbStroke dynamics on touch screen mobile phones. Decision Support Systems 92, 14-24. Online publication date: 1-Dec-2016. [Crossref]
, , , , , . (2016) Empirical Studies of ECG Multiple Fiducial-Points Based Binary Sequence Generation (MFBSG) Algorithm in E-Health Sensor Platform. 2016 IEEE 41st Conference on Local Computer Networks Workshops (LCN Workshops), 236-240. [Crossref]
. (2015) Reference point detection for camera-based fingerprint image based on wavelet transformation. BioMedical Engineering OnLine 14:1. Online publication date: 1-Dec-2015. [Crossref]
, , . (2013) Core-Point Detection on Camera-Based Fingerprint Image. 2013 International Symposium on Biometrics and Security Technologies, 241-246. [Crossref]

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