Friday 19th of April 2024
 

Performance Evaluation of Fingerprint Identification Based on DCT and DWT using Multiple Matching Techniques


Lavanya B. N. and Raja K.B.

The fingerprint is a physiological trait used to identify a person. In this paper, Performance Evaluation of Fingerprint Identification based on DCT and DWT using Multiple Matching Techniques (FDDMM) is proposed. The fingerprint is segmented into four cells of each size 150*240. The DCT is applied on each cell. The Harr Wavelet is applied on DCT coefficient of each cell. The directional information features and centre area features are computed on LL sub band. The final Feature Vector is obtained by concatenating Directional Information and Centre Area Features. The matching techniques viz., ED, SVM, and RF are used to compare test image feature with database image features. It is observed that the values of TSR and FRR are better in the case of proposed algorithm compared to existing algorithm.

Keywords: Fingerprint, Directional Information Features, Centre Area Features, FRR, TSR.

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ABOUT THE AUTHORS

Lavanya B. N.
Lavanya B.N. received her Bachelor of Engineering in Computer Science and Engineering from Sri Jayachamarajendra College of Engineering Mysore and Master of Engineering in computer science from Dr.Ambedkar Institute of Technology Banglore. She is persuing her Ph.D in Computer Science and Engineering in JNTU Hyderabad and her area of interest is biometrics, image processing.

Raja K.B.
K B Raja is an Assistant Professor, Dept. of Electronics and Communication Engg, University Visvesvaraya college of Engg, Bangalore University, Bangalore. He obtained his Bachelor of Engineering and Master of Engineering in Electronics and Communication Engineering from University Visvesvaraya College of Engineering, Bangalore. He was awarded Ph.D. in Computer Science and Engineering from Bangalore University. He has over 75 research publications in refereed International Journals and Conference Proceedings. His research interests include Image Processing, Biometrics, VLSI Signal Processing, computer networks.


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