Fingerprint matching and similarity checking system using minutiae based technique

Fingerprint matching is one of the most important problems in Automatic Fingerprint Identification System (AFIS). It has emerged as an effective tool for human recognition due to its uniqueness, universality and invariability. The significance of this work is to monitor the matching and similarity for two or more fingerprint images simultaneously. This proposed algorithm has been formulated based on minutiae points which examine n number of images.

[1]  Sharath Pankanti,et al.  Filterbank-based fingerprint matching , 2000, IEEE Trans. Image Process..

[2]  G. Aguilar,et al.  Fingerprint Recognition , 2007, Second International Conference on Internet Monitoring and Protection (ICIMP 2007).

[3]  Sharath Pankanti,et al.  Minutia verification and classification for fingerprint matching , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[4]  M. Usman Akram,et al.  Fingerprint image: pre- and post-processing , 2008, Int. J. Biom..

[5]  Ogechukwu N. Iloanusi.  Fusion of finger types for fingerprint indexing using minutiae quadruplets , 2014, Pattern Recognit. Lett..

[6]  Marina L. Gavrilova.  Exploring fingerprint matching through a topology-based perspective , 2008, Int. J. Biom..

[7]  Anil K. Jain,et al.  Latent Fingerprint Matching Using Descriptor-Based Hough Transform , 2011, IEEE Transactions on Information Forensics and Security.

[8]  Jie Tian,et al.  A minutiae matching algorithm in fingerprint verification , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[9]  Somnath Dey,et al.  Fingerprint indexing using minutiae-based invariable set of multidimensional features , 2014, Int. J. Biom..

[10]  Piotr Porwik,et al.  A new efficient method of fingerprint image enhancement , 2008, Int. J. Biom..

[11]  Sharath Pankanti,et al.  10.5 – Fingerprint Classification and Matching , 2005 .

[12]  Daniel Peralta,et al.  Fast fingerprint identification for large databases , 2014, Pattern Recognit..

[13]  Anil K. Jain,et al.  Handbook of Fingerprint Recognition , 2005, Springer Professional Computing.

[14]  R. Ostrovsky,et al.  Fingerprint Recognition , 2008 .