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CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com
A COST-EFFECTIVE MINUTIAE DISK CODE FOR FINGERPRINT RECOGNITION
AND ITS IMPLEMENTATION
ABSTRACT
Fingerprint is one of the unique biometric features for the application of
identity security. Minutiae cylinder code (MCC) constructs a cylinder for each
minutia to record the contribution of the neighbor minutiae, which has great
performanceon fingerprint recognition. However, the computation time of the
MCC is high. Therefore, we proposed a new disk structure to encode the local
structure for each minutia. The proposed minutiae disk code (MDC) clearly
illustrates the distribution of the neighbor minutiae and encodes the neighbor
minutiae more efficiently by having 280.08x speed faster than the MCC
encoding part on Matlab platform. The proposed MDC approach has 96.81%
recognition rate on FVC2000 and FVC2002 datasets. The hardware
implementation can achieve the operating frequency at 111MHz, which can
process 1234 fingerprintimages per second with the image size of255×255 and
the maximum of 64 minutiae, under TSMC 90nm CMOS technology. The
hardware implementation has 141.27x speed faster than the MCC method.
CONCLUSIONS
In this paper, we proposed a new disk structure to efficiently encode the
spatial and directional contribution from the local neighbor minutiae. The disk
structure has clearer illustration of the distribution of the neighbor minutiae.
CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com
We reduce the high computation time of the MCC method by the proposed
MDC approach and renders a 96.81% recognition rate for fingerprint
identification. The MDC method is also implemented on hardware to
accelerate the fingerprint matching. The design can execute 1234 fingerprint
images per second with the image size of 255×255 and maximum 64 minutiae
at the operating frequency of 111MHz under the TSMC 90nm CMOS
technology. The hardware implementation has 141.27x speed faster than the
MCC method
REFERENCES
[1] A. Jain and L. Hong, “On-line fingerprint verification,” Pattern Recog.
(ICPR), pp. 596–600, August 1996.
[2] V. K. Alilou, “Fingerprint matching: A simple approach.” [Online]. Available:
http://www.mathworks.com/matlabcentral/fileexchange/44369- fingerprint-
matching–a-simple-approach
[3] A. Willis and L. Myers, “A cost-effective fingerprint recognition system for
use with low-quality prints and damaged fingertips,” Pattern Recognition, vol.
34, pp. 255–270, 2001.
[4] X. Jiang and W. Yau, “Fingerprint minutiae matching based on local and
global structures,” Int. Conf. Pattern Recognition, vol. 2, pp. 6038–6041, 2000.
[5] N. Ratha, V. D. Pandit, R. M. Bolle, and V. Vaish, “Robust fingerprint
authentication using local structural similarity,” Proc. IEEE Workshop
Applications of Computer Vision,, pp. 29–34, 2000.
CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249)
MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com
Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com
[6] G. Parziale and A. Niel, “A fingerprint matching using minutiae
triangulation,” in Proc. Biom. Authenticat., pp. 241–2482, 2004.
[7] H. Deng and Q. Huo, “Minutiae matching based fingerprint verification
using delaunay triangulation and algined-edge-quided triangle matching,” in
Proc. 5th internaltional AVBPA conference, pp. 270–278, 2005.
[8] W. Yang, J. Hu, and S. Wang, “A delaunayquadranglebased fingerprint
authentication system with template protection using topology code for local
registration and security enhancement,” IEEE Transactions on Information
Forensics and Security, pp. 1179–1192, July 2014.
[9] R. Cappelli, M. Ferrara, and D. Maltoni, “Minutiae cylinder-code: A new
representation and matching technique for fingerprint recognition,” IEEE
Trans. Pattern Analysis and Machine Intelligence, pp. 2128–2141, December
2010.
[10] BioLab, “The fvc2000 datasets,” 2015. [Online]. Available:
http://bias.csr.unibo.it/fvc2000
[11] BioLab., “The fvc2002 datasets,” 2015. [Online]. Available:
http://bias.csr.unibo.it/fvc2002

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A COST-EFFECTIVE MINUTIAE DISK CODE FOR FINGERPRINT RECOGNITION AND ITS IMPLEMENTATION

  • 1. CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com A COST-EFFECTIVE MINUTIAE DISK CODE FOR FINGERPRINT RECOGNITION AND ITS IMPLEMENTATION ABSTRACT Fingerprint is one of the unique biometric features for the application of identity security. Minutiae cylinder code (MCC) constructs a cylinder for each minutia to record the contribution of the neighbor minutiae, which has great performanceon fingerprint recognition. However, the computation time of the MCC is high. Therefore, we proposed a new disk structure to encode the local structure for each minutia. The proposed minutiae disk code (MDC) clearly illustrates the distribution of the neighbor minutiae and encodes the neighbor minutiae more efficiently by having 280.08x speed faster than the MCC encoding part on Matlab platform. The proposed MDC approach has 96.81% recognition rate on FVC2000 and FVC2002 datasets. The hardware implementation can achieve the operating frequency at 111MHz, which can process 1234 fingerprintimages per second with the image size of255×255 and the maximum of 64 minutiae, under TSMC 90nm CMOS technology. The hardware implementation has 141.27x speed faster than the MCC method. CONCLUSIONS In this paper, we proposed a new disk structure to efficiently encode the spatial and directional contribution from the local neighbor minutiae. The disk structure has clearer illustration of the distribution of the neighbor minutiae.
  • 2. CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com We reduce the high computation time of the MCC method by the proposed MDC approach and renders a 96.81% recognition rate for fingerprint identification. The MDC method is also implemented on hardware to accelerate the fingerprint matching. The design can execute 1234 fingerprint images per second with the image size of 255×255 and maximum 64 minutiae at the operating frequency of 111MHz under the TSMC 90nm CMOS technology. The hardware implementation has 141.27x speed faster than the MCC method REFERENCES [1] A. Jain and L. Hong, “On-line fingerprint verification,” Pattern Recog. (ICPR), pp. 596–600, August 1996. [2] V. K. Alilou, “Fingerprint matching: A simple approach.” [Online]. Available: http://www.mathworks.com/matlabcentral/fileexchange/44369- fingerprint- matching–a-simple-approach [3] A. Willis and L. Myers, “A cost-effective fingerprint recognition system for use with low-quality prints and damaged fingertips,” Pattern Recognition, vol. 34, pp. 255–270, 2001. [4] X. Jiang and W. Yau, “Fingerprint minutiae matching based on local and global structures,” Int. Conf. Pattern Recognition, vol. 2, pp. 6038–6041, 2000. [5] N. Ratha, V. D. Pandit, R. M. Bolle, and V. Vaish, “Robust fingerprint authentication using local structural similarity,” Proc. IEEE Workshop Applications of Computer Vision,, pp. 29–34, 2000.
  • 3. CONTACT: PRAVEEN KUMAR. L (, +91 – 9791938249) MAIL ID: sunsid1989@gmail.com, praveen@nexgenproject.com Web: www.nexgenproject.com, www.finalyear-ieeeprojects.com [6] G. Parziale and A. Niel, “A fingerprint matching using minutiae triangulation,” in Proc. Biom. Authenticat., pp. 241–2482, 2004. [7] H. Deng and Q. Huo, “Minutiae matching based fingerprint verification using delaunay triangulation and algined-edge-quided triangle matching,” in Proc. 5th internaltional AVBPA conference, pp. 270–278, 2005. [8] W. Yang, J. Hu, and S. Wang, “A delaunayquadranglebased fingerprint authentication system with template protection using topology code for local registration and security enhancement,” IEEE Transactions on Information Forensics and Security, pp. 1179–1192, July 2014. [9] R. Cappelli, M. Ferrara, and D. Maltoni, “Minutiae cylinder-code: A new representation and matching technique for fingerprint recognition,” IEEE Trans. Pattern Analysis and Machine Intelligence, pp. 2128–2141, December 2010. [10] BioLab, “The fvc2000 datasets,” 2015. [Online]. Available: http://bias.csr.unibo.it/fvc2000 [11] BioLab., “The fvc2002 datasets,” 2015. [Online]. Available: http://bias.csr.unibo.it/fvc2002