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Literature Survey on Multimodal Biometrics

K.S. Vairavel, J. Yazhini


Single model biometric systems suffer from much challenge such as noisy data, non-universality and spoof attacks. Multimodal biometric systems can resolve these limitations effectively by using two or more individual modalities. Multimodal biometric is the usage of multiple biometric indicators by personal identification systems for identifying the individuals. Multimodal authentication provides more level of authentication than unimodal biometrics which uses only one biometric data such as fingerprint or face modalities or iris. In this technique fusion of iris, Fingerprint and face traits are used in order to improve the accuracy, security of the system and to identify the human. The combination of Fingerprint, iris and face biometric can achieve performance that may not be possible using a single biometric technology. This system offer the high performance and to overcome the limitation of single modal biometrics. In this multimodal biometrics feature selection, feature extraction and feature classification these all techniques are used.


Multimodal Biometrics, Finger Print, Iris, Face, Feature Selection, Feature Extraction and Feature Classification.

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Ashraf Aboshosha, Kamal A. El Dahshan and Eman A. Karam (2015), “Score Level Fusion for Fingerprint, Iris and Face Biometrics”, International Journal on Computer Applications, Vol. 111 – No. 4, 0975 – 8887, February

Sumit Shekhar, Vishal M. Patel, Nasser M. Nasrabadi and Rama Chellappa (2014), “Joint Sparse Representation for Robust Multimodal Biometrics Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 36, No. 1, January

Javier Galbally, Sebastien Marcel and Julian Fierrez (2014), “Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint and Face Recognition”, IEEE Transactions on Image Processing, Vol. 23, No. 2, February.

Hiew Moi Sim, Hishammuddin Asmuni, Rohayanti Hassan, Razib M. Othman (2014), “Multimodal Biometrics: Weighted Score Level Fusion Based on Non-Ideal Iris and Face Images”, In Science Direct, Vol. 41, 5390–5404

Geethu S Kumar, Jyothirmati C Devi (2014), “A Multimodal SVM Approach for Fused Biometric Recognition”, International Journal of Computer Science and Information Technologies, Vol. 5 – No.3, 3327-3330

Sameer P Patil, Tushar N Raka, Shreyas O Sarode, (2014), “Multimodal Biometric Identification System: Fusion of Iris and Fingerprint”, International Journal of Computer Applications, Vol. 97– No.9, 0975 – 8887, July

Pooja Choudhari, Hingway S P, Sheeja S Suresh, Arati Wagh (2014), “Fusion of Iris and Fingerprint Images for Multimodal Biometrics Identification”, International Organization of Scientific Research, Vol. 04, Issue 08, 2250-3021, August

Sakshi Kalra, Anil Lamba (2014), “Improving Performance by combining Fingerprint and Iris in Multimodal Biometric”, International Journal of Computer Science and Information Technologies, Vol. 5 (3), 4522-4525.

Qing Zhang, Yilong Yin, De-Chuan Zhan, and Jingliang Peng (2014), “A Novel Serial Multimodal Biometrics Framework Based on Semisupervised Learning Techniques”, IEEE Transactions on Information Forensics and Security, Vol. 9, No. 10, October

Sireesha V, Sandhyarani K (2013), “Multimodal Biometric System using Iris - Fingerprint: an Overview”, International Journal of Engineering Sciences Research, Vol 04, Special Issue 01, 2230-8504.

Sanjekar P S and Patil J B (2013), “An Overview of Multimodal Biometrics”, Signal & Image Processing : An International Journal (SIPIJ), Vol.4, No.1, February

Prakash Chandra Srivastava, Anupam Agarwal, Kamta Nath Mishra, P.K.Ojha, R.Garg, “Finger prints, Iris and DNA Features based Multimodal Systems: A Review”, International journal of .Information Technology and Computer Science, Vol 2, 2013

Arun Jain, Sona Aggarwal,”Multimodal Biometrics System: A Survey”, International Journal of Applied Science and Advance Technology”, Vol 1, 2012.

Chowhan.S.S&G.N Shinde,”IRIS Biometric Recognition Application in Security management”,IEEE 2002

Roli Bansal, Priti Sehgal, “ Minutiae Extraction from fingerprint images-a Review”, International journal of computer science issues, vol 8, 2011

R. Cappelli, D. Maio, and D. Maltoni, “Synthetic Fingerprint- Database Generation,” Proc. 16th Int’l Conf. Pattern Recognition,pp. 744-747, Aug. 2002.

Patten, Savvy Criminals Obliterating Fingerprints to Avoid Identification,,2008

The Fed. Bureau of Investigation (FBI), Integrated Automated Fingerprint Identification System (IAFIS),, 2011

K. Singh, Altered Fingerprints, fingerprints.pdf, 2008

Rahul Sharma & Santosh Sharma, “Fingerprint Recognition Based on Ridges, Bifurcation and 3-branch Position’’ IJARCSSE, Volume3, Issue3, March2013.


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