Open Access Open Access  Restricted Access Subscription or Fee Access

Intelligent Fingerprint Recognition System Using Affine Transformation

R.M. Mandi, S.S. Lokhande



The fingerprint is the most widely used Biometric. The main focus of Intelligent Fingerprint Recognition System is to improve accuracy and efficiency. This system uses an algorithm for recovering translation parameters from two fingerprint images of the same individual that differ by Rotation, and Transformation also known as similarity transformation or Affine Transformation. This algorithm is very useful to identify two fingerprint images of the same individual which are misaligned by small transformations such as rotation or translation. This system has been trained to identify whether the fingerprint image is straight or rotated in the initial stage itself. The algorithm uses minutiae based matching to compare input fingerprint image with the template fingerprint image stored in the database. The algorithm uses various standard preprocessing steps. It includes all the stages to extract the minutiae. The proposed system is tested on the pilot database.


Affine Transformation, Image Alignment, Minutiae, Rotation, Transformation.

Full Text:



Mehfuza Holia, Prof.V.K.Thakar ”Image registration for recovering affine transformation using Nelder Mead Simplex method for optimization.2010

Anil K.Jain, Ajay Kumar, “Biometrics of Next Generation: An Overview”, Springer, 2010

Mar Mar Min, Yadana Thein “Intelligent Fingerprint Recognition System by Using Geometry Approach ”, IEEE Trans.PAMI, 18(8),pp. 799-806, 2009.

Rohit Singh(Y6400), Utkarsh Shah (Y6510), Vinay Gupta (Y6534), “Fingerprint Recognition”, Department of Computer Science & engineering Indian Institute of Technology, Kanpur 2009.

F.P.S. Falguera, A.N.Marna and J.R. Falguera, “Fusion of Fingerprint recognition methods for robust human identification”, 11th IEEE International Conference on Computational Science and Engineering, pp.413-420, 2008

S.Arivazhagan, T.G. Arul Flora, L.Ganesan, “Fingerprint verification using gabor co-occurrence features”, IEEE International Conference on

Computational Intelligence and Multimedia Applications, pp 281-285, 2007

A.N.Marna, and A.K.Jain, “Ridge Based Fingerprint Matching Using Hough Transform”, IEEE Proceedings of the Sibgrapi, Natal, Brazil, 2005, pp.112-119.

A.K.Jain, L.Hong, Ruud Bolle, “An Identity-Authentication System Using Fingerprints”, Proceedings of IEEE , Vol.85, No 9, 1997, pp.1365-1388.

D.Maltonie, D.Maio, A.K.Jain, S.Prabhakar, Handbook of Fingerprint Recognition, Springer, New York,2003.

S.Schuckers, A.Abhyankar, Detectingliveness in fingerprint scanner using wavelets: Results of the tset dataset,in: Proceedings of the Biometric Authentication Workshop, ECCV, May 2004, pp.100-110

A.K.Jain, “Biometrics Authentication How Do I Know Who You Are”, Dept.of Computer Science and Engineering, Michigan State University.

Biometrics Information Group

M. Kaur,M.Singh,A.Girdhar and P.S.Sindhu,”Fingerprint verification system using minutiae extraction technique”, World Academy of Science,Engineering and Technology 46.pp497-502,2008

A.K.Jain, L.Hong and R.Bolle, ”On-line fingerprint verification” IEEE Transactions on Pattern Analysis and Machine Intelligent, Vol.19,No.4,pp302-314,1997

P.E.Danielsson and Q.Z.Ye, ”Rotation-Invariant Operators Applied to Enhancement of Fingerprints,” Proc. Eighth ICPR,pp.329-333,Rome,1988


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.