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An Automated Fingerprint Authentication System (AFIS) Without Using Fingerprint Features

R. Vinothkanna, T. Pavitha


Biometrics is the science and technology of authentication by identifying the living individual’s physiological or behavioral attributes. Fingerprint identification is one of the most well known and published biometrics. Fingerprints have been used for identification for over a century, more recently becoming automated due to advancement in computing capabilities and their uniqueness and consistency over time and access control.In Pre-processing stage, notch filter is used for fast enhancement and found to be best. In traditional cryptographic systems, one or more keys are used to convert the plaintext (i.e. data to be encrypted) to cipher text (i.e. encrypted data). The encrypting key(s) maps the plain text to essentially a sequence of pseudo random bits (modern crypto algorithms are designed with this criteria), that can only be mapped back to the plain text using the appropriate decrypting key(s). Here, the plain text can be any data that needs to be stored or transmitted securely: financial transactions, E-mail communication, records, fingerprint images, secret cryptographic keys, etc. The proposed method has a excellent capability both in filtering effectiveness and efficiency.


Biometrics, Encryption, Feature Extraction, Filter, Fingerprints, Preprocessing

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Keming Mao,Zhiliang zhu,Huiyan Jiang , “A Fast Fingerprint Image Enhancement Method”,2010 Third International Joint Conference on Computational Science and Optimization.

Yuliang He and Jie Tian. “Fingerprint matching based on global comprehensive similarity”. IEEE Trans.On PAMI, 28(6):850–862, 2006.

Xiaoguang He, Jie Tian, Liang Li, and et al. “ Modeling and analysis of local comprehensive minutia relation for fingerprint matching”. IEEE Trans.On SMC-B, 37(4):1204–1211, 2007.

KMao, GWang, and G Yu. “A novel fingerprint matching method by excluding elastic distortion”. DASFAA 2008, LNCS 4947, pages 348–363, 2008

Anil Jain, Fellow, IEEE, Lin Hong, and Ruud Bolle, Fellow, IEEE , “On-Line Fingerprint Verification, IEEE TRANSACTIONS on pattern analysis and machine intelligence”, VOL. 19, NO. 4, APRIL 1997

Chitresh Saraswat, Amit Kumar “An Efficient Automatic Attendance System using Fingerprint Verification Technique”-journal on computer science and engineering –vol.02,No. 02,2010, 264-269.

Yuliang He,Jie Tian,Xiping Luo,Tanghui Zhang, “Image Enhancement and Minutiae Matching in Fingerprint Verification”, Pattern Recognition Letters,vol.24,p.p.1349-1360,2003.

A.K.Jain, L.Hong,R.Bolle, “Online Fingerprint Verification” ,IEEE Transaction on PAMI,vol.19,No.4,1997.302-314.

Arun Ross,Anil Jain,James Reisman, “A Hybrid Fingerprint Matcher,”Pattern Recognition,Vol.36,p.p.1661-1673,2003.

[10]Marius Tico,Pauli Kousmanen, “Fingerprint Matching using an Orientation-Based Minutiae Descriptor” ,IEEE Transaction on PAMI,vol.25,No.8,Aug.2003.

Mohammad A.U.Khan, Zakirullah, “Fourier Cleaning of Fingerprint Images” ,ICSP2010 proceedings,2010.

Chaohong Wu, “Advanced Feature Extraction Algorithms for Automatic Fingerprint Recognition Systems”, April 2007.

Galton, F. (1892), “ Fingerprints”, Macmillan, Londan. Shlomo Greenberg, Mayer Aladjem, Daniel Kogan and Itshak Dimitrov, “Fingerprint Image Enhancement using Filtering Techniques”.

Hong, L., Wan, Y.& Jain,A.(1998) “ Fingerprint Image Enhancement:Algorithm and Performance Evaluation.”. IEEE Transactions on Pattern Analysis and Machine Intelligence 20:777-789.

Ashwini R.Patil, Mukesh A.Zaveri, “A novel approach for fingerprint matching using minutiae”, Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation 2010.

Muslim, “Fingerprint Pattern Using Distance Method Algorithm” ,proceedings of the 2 nd IMT-GT Regional Conference on Mathematics,Statistics and Applications Universiti Sains Malaysia,penang,june 13-15,2006..

Mary Lourde R and Dushyant Khosla, “Fingerprint Identification In Biometrics Security Systems”,,International Journal of Computer and Electrical Engineering,Vol.2,No.5,October,2010.

Anil.K.Jain, JianjiangFeng, Karthik Nandakumar, “Fingerprint Matching”IEEE 2010.

Kejun Wang, Hui Ma, Oluwtoyin P.Popool, and Xuefeng Li, “A novel finger vein pattern extraction method using oriented filtering technology”, proceedings of the 8th world congress on intelligent control and automation july 6-9 2010.

Alper koz, R. (inald) L.Lagendijk, “Perceptual video hashing in P2P networks”, 2010.

D.Maio and Davide Maltoni, “Minutale extraction and filtering from gray-scale images”, 1999.

Ki-Yeol Eom, Moon-Hyun Kim, Jae-Young Jung, “Improving the accuracy of verification using fuzzy minutiae-based matching”, 2nd International Conference on Industrial Mechatronics and Automation 2010

N.Selvaraju, G.Sekar, “A Method to Improve the Security Level of ATM Banking Systems Using AES Algorithm Protocols”.

Michael Kipper, Joshua Slavkin, Dmitry Denisenko “Implementing AES on GPU Final Report” University of Toronto, April 20, 2009.

Anil Jain Sharath Pankanti, “Fingerprint Classification and Matching”.

Hasan Fleyeh, Diala Jomaa, Mark Dougherty, “Segmentation Of Low quality Fingerprint images, IEEE, MCIT 2010. [28]J.Daemen and V.Rijmen, “Rijndael, the advanced encryption standard,”Dr.Dobb’s Journal, vol~26,No.~3,March 2001,pp~137-139.

Youssef ELMIR and Mohammed BENYETTOU, “Gabor Filters Based Fingerprint Identification Using Spike Neural Networks”, SETIT 2009,5th International Conference: Sciences of Electronic, Technologies of Information and Telecommunications March 22-26, 2009.

U.Uludag, S.Pankanti, S.Prabhakar and A.K.Jain, “Biometric cryptosystems:Issue and Challenges” ,Proceedings of the IEEE,Vol.92,no.6,2004,pp 948-960.


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