A sweeping fingerprint verification system using the template matching method

Authors:
Sun-Yen Tan;Wen-Tzeng Huang;Chin-Hsing Chen;Yuan-Jen Chang
Affiliations:
Department of Electronic Engineering, National Taipei University of Technology, Taipei, Taiwan, R.O.C.;Department of Computer Science and Information Engineering, Mingsin University of Science and Technology, Hsinchu, Taiwan, R.O.C.;Department of Management Information Systems, Central Taiwan University of Science and Technology, Taichung City, Taiwan, R.O.C.;Department of Management Information Systems, Central Taiwan University of Science and Technology, Taichung City, Taiwan, R.O.C.
Venue:
WSEAS Transactions on Computers
Year:
2010

Citing 7
Cited 0

Introduction to algorithms

Introduction to algorithms
Low Bit Rate Image Coding in the Scale Space

DCC '02 Proceedings of the Data Compression Conference
Validity and acceptability of results in fingerprint scanners

MMACTE'05 Proceedings of the 7th WSEAS International Conference on Mathematical Methods and Computational Techniques In Electrical Engineering
A hierachical fingerprint matching method based on the minutiae and ridge image

ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Sweeping fingerprint verification system based on template matching

ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
Computationally efficient fingerprint algorithm for automatic recognition

SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Fingerprint registration by maximization of mutual information

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Electronic products have adopted the technology of the fingerprint recognition system to offer protection mechanism. The characteristics of Line-Sensor are smaller size, lower power consumption, and lower cost. Therefore, it is suitable for designing fingerprint sensor in embedded systems. Generally, a Line-Sensor builds up a completed picture through assembling the image segments received after one sweeping the fingerprint. However, sometimes, the sweeping rate is unstable and the pressing strength is varied. To avoid such problems influencing the final results, the Fast Normalized Cross Correlation (FastNCC) algorithm is employed here to process and correct the image data. Moreover, the Group Delay Spectrum (GDS) and Dynamic Programming (DP) are implemented to complete fingerprint comparisons. Two different fingerprint matching algorithms are to exploit and demonstrate the verification rate of the system. FastNCC results in 93.8% of the verification rate, while SSD obtains 92.5% of the verification rate.