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Mobile Multimodal Biometric System for Security
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 89 - Number 10 |
| Year of Publication: 2014 |
| Authors: Waleed El Nahal |
10.5120/15666-4041
|
Waleed El Nahal . Mobile Multimodal Biometric System for Security. International Journal of Computer Applications. 89, 10 ( March 2014), 12-16. DOI=10.5120/15666-4041
Abstract
Among our huge life requirements, the most important requirement which has a vital role in our daily life is the security. Recently using biometrics in the security systems has a wide range of research interests since they provide systems have more efficient, reliable, and secure than the others. In the present time researches for mobile biometric devices are provided with a fingerprint only which isn't sufficient for the areas where lawlessness and anarchy cases are existed recently due to the current political situation in some developing countries in Africa and Middle East where the rate of crime increased significantly involving a large number of people getting into the crime scene. Police departments are unable to identify robbers and criminals due to the presence of newly unrecorded ones with the lack of presence of a fixed database holding records of widely known criminals. So in this paper we propose a mobile biometric authentication system (MOBAS) based on Zigbee technology and a multimodal biometric authentication system in which the primary biometric modalities adopted are the fingerprint and the face recognition. The proposed system aims to provide a mobile, light, user friendly, reliable and secure biometric authentication system to the police departments, and that will help the officers anywhere to identify the criminals by taking a fingerprint or capturing an image or both for different scenarios, sending them wirelessly to the server at the appropriate police station and then waiting for a response concerning the person's criminal record sent wirelessly from the police station and displayed on a mobile biometric authentication device (MOBA). According to the sent criminal record, the police officers will take a suitable action towards this person.
References
- M. Lourde R, D. Khosla, "Fingerprint Identification in Biometric Security Systems" International Journal of Computer and Electrical Engineering, Vol. 2, No. 5, October, 2010.
- International Journal of Engineeringand Advanced Technology (IJEAT), "Wireless Fingerprint Based College Attendence System using Zigbee Technology", 201. ISSN: 2249 – 8958, Volume-2, Issue 3, February 2013.
- Liu S. and Silverman M. "A practical guide to biometric security technology", pp 27-32. 2001.
- A. K. Jain, and et al. , "Biometric Template Selection: A Case Study in Fingerprints", Proc. 4th Int'l Conf. on Audio- and Video-Based Biometric Person Authentication (AVBPA), pp. 335-342, Guildford, UK, June 9-11, 2003.
- Joseph N. Pato and Lynette I. Millett, "Biometric Recognition: Challenges and Opportunities", National Research Council of the United States, 2004.
- Keith A Rhodes, and et al. "Challenges in Using Biometrics", U. S. General Accounting Office, Technology Assessment: Using Biometrics for Border Security, GAO-03-1137T, September 2003.
- Nanavati, S. , and et al. "Biometrics: Identity Verification in a Networked World", Toronto: John Wiley & Sons. 2002.
- L. Ravi Kumar, and et al. "Fingerprint Minutia Match Using Bifurcation Technique", International Journal of Computer Science & Communication Networks, Vol. 2(4), 478-486.
- Anil K. Jain, Ajay Kumar, "Biometrics of Next Generation: An Overview", SPRINGER 2010. (1), pp 1-36.
- De Vel, and et al. "Line-based face recognition under varying pose", Pattern Analysis and Machine Intelligence, IEEE Transactions on. 1999. Pp. 1081 -1088.
- P. H. Zope and Poonam Mote, "Multimodal Biometric system using Gabor Filter", International Journal of Advanced Trends in Computer Science and Engineering, Volume 1, No. 2, May – June 2012.
- Saeed Meshgini, and et al. "Face Recognition Using Gabor Filter Bank, Kernel Principle Component Analysis and Support Vector Machine", International Journal of Computer Theory and Engineering, Vol. 4, No. 5, October 2012.
- P. D. Garje, and et al. "Multibiometric Identification System Based On Score Level", IOSR Journal of Electronics and Communication Engineering (IOSRJECE), Issue 6, Volume 2, pp. 07-11, Sep-Oct 2012.
- Smita Kulkarni, "Improving Biometric Identification through Score Level Face Fingerprint Fusion", International Journal of Scientific & Engineering Research, Issue 6, Volume 3, June-2012.
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