A new application of Multi modal Biometrics in home and office security system

Biometric door lock security systems are used at those places where you have important information and stuffs. In that kind of places multibiometric electronic door lock security systems that are based on finger print and iris recognization.Multibiometric door lock security systems are used to prevent the door related burglaries such as break ins occurred in different forms so this is the best method to prevent this type of happenings. Unlike keyed locks, there is no need to take the keys with you when you go out without necessary of worrying about losing keys.This paper proposes a multimodal biometrics door lock system with iris and fingerprint as a computer application for automatically identifying or verifying a person from fingerprint iris recognition system. The first stage is identification and second one is verifying that whether he is a genuine user or imposter. During second stage system compares the input set with all available stored set in database. This comparison gives a ranked list of matches. Based on the rank retrieved an alarm is activated automatically when any unauthorized person tries to open the door. So this kind of multimodal biometrics will provide a highly secured and authenticated access.

[1]  S. Pravinthraja,et al.  Multimodal Biometrics for Improving Automatic Teller Machine Security , 2011 .

[2]  Anil K. Jain,et al.  On-line fingerprint verification , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[3]  Arun Ross,et al.  Information fusion in biometrics , 2003, Pattern Recognit. Lett..

[4]  Bruce A. Draper,et al.  The CSU Face Identification Evaluation System: Its Purpose, Features, and Structure , 2003, ICVS.

[5]  Bruce A. Draper,et al.  The CSU Face Identification Evaluation System , 2005, Machine Vision and Applications.

[6]  Arun Ross,et al.  A hybrid fingerprint matcher , 2002, Object recognition supported by user interaction for service robots.

[7]  Ian Craw,et al.  Finding Face Features , 1992, ECCV.

[8]  Karsten P. Ulland,et al.  Vii. References , 2022 .

[9]  Konstantinos N. Plataniotis,et al.  Face recognition using kernel direct discriminant analysis algorithms , 2003, IEEE Trans. Neural Networks.

[10]  Anil K. Jain,et al.  Fingerprint Image Enhancement: Algorithm and Performance Evaluation , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  David Zhang,et al.  When Faces Are Combined with Palmprints: A Novel Biometric Fusion Strategy , 2004, ICBA.

[12]  Kuo-Chin Fan,et al.  Triangle-based approach to the detection of human face , 2001, Pattern Recognit..

[13]  Anil K. Jain,et al.  A Real-Time Matching System for Large Fingerprint Databases , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[14]  B. Ripley,et al.  Pattern Recognition , 1968, Nature.

[15]  Jiri Matas,et al.  On Combining Classifiers , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Tieniu Tan,et al.  Combining Face and Iris Biometrics for Identity Verification , 2003, AVBPA.