IJIGSP Vol. 9, No. 7, 8 Jul. 2017
Cover page and Table of Contents: PDF (size: 1197KB)
Full Text (PDF, 1197KB), PP.36-44
Views: 0 Downloads: 0
Biometrics, Fingerprint Identification, Overlap-add Method, Integer Wavelet Transform, ApplicationSpecific Integrated Circuits
The field of fraud identification is reaching a very high proportion in the society, thus leading to an increase in the need for fingerprint-based identification. This paper presents ASIC implementation of fingerprint recognition based on Overlap-add method and Integer Wavelet Transforms. In overlap-add method, the present output overlaps the next output and in the integer to integer wavelet, low component at 2nd level decomposition is taken as approximate integer value. The implementation presents an analysis for speed, area and power dissipation between the two algorithms and other methods.
Shashidhara H. R, Aswatha A. R,"ASIC Implementation of Finger Print Recognition Using Overlap-Add and Integer Wavelet Transform Methods", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.9, No.7, pp.36-44, 2017. DOI: 10.5815/ijigsp.2017.07.04
[1]Cheong Hee and Haesun Park, “Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis”, Journal of Pattern Recognition, Elsiever, 2005, Volume 38, Issue 4, pp.495-503.
[2]M. Kawagoe and A. Tojo, “Fingerprint Pattern Classification”, Pattern Recognition, Volume 17, Issue 3, 1984, pp.295-303
[3]Anil K. Jain, Salil Prabhakar, Lin Hong, and Sharath Pankanti, “Filter bank-Based Fingerprint Matching”, IEEE Transactions on Image processing, Volume 9, Issue 5, 2000, pp.846-859
[4]Anil K.Jain, Salil Prabhakar and Shaoyun Chen, “Combining multiple matchers for a high security fingerprint verification system”, Pattern Recognition Letters, Elsivier, 1999, Volume 20,Issue 11, pp.1371-1379.
[5]Anil Jain, Arun Ross and Salil Prabhakar, “Fingerprint matching using minutiae and texture features”, Appeared in Proc. of Int’l Conference on Image Processing (ICIP), Thessaloniki, Greece, Oct 7 - 10, 2001, pp.282-285.
[6]Wang Yongxu, Ao Xinyu, Du Yuanfeng and Li Yongping, “A Fingerprint Recognition Algorithm Based on Principal Component Analysis”, 2006 IEEE Region 10 Conference (TENCON 2006), pp.1-4.
[7]Hashad, F. G., “A new approach for fingerprint recognition based on Mel frequency cepstral coefficients”, Proc. IEEE International Conference on Computer Engineering \& Systems, 2009, pp.263-268.
[8]Ramandeep Kaur, Parvinder S. Sandhu, and Amit Kamra, “A novel method for fingerprint feature extraction”, Proc. IEEE International Conference on. Networking and Information Technology, 2010, pp.1-5.
[9]Manisha Redhu and Dr.Balkishan, “Fingerprint Recognition Using Minutiae Extractor”, International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622, Volume 3, Issue 4, 2013, pp.2488-2497.
[10]Ajit Kumar, and Cyril Kwong, “Towards contactless, low-cost and accurate 3D fingerprint identification”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 37, Issue 3, 2015, pp.681-696.
[11]M. Kamaraju and P. A. Kumar, “DSP based embedded fingerprint recognition system”, Proc. IEEE 13th International Conference on In Hybrid Intelligent Systems (HIS), 2013, pp.6-11.
[12]S. Gayathri and Dr. V.Sridhar, “ASIC Implementation of Image Enhancement Technique for Fingerprint Recognition Process:, Proc. International Conference on Contemporary Computing and Informatics, 2014, pp.868-873.
[13]S. Santhosh, “Design and development of a security module with inbuilt neural network methodologies and an advanced technique on fingerprint recognition”, IEEE International Conference on Circuit, Power and Computing Technologies, 2014, pp. 1490-1495.
[14]Fred Kaggwa, John Ngubiri and Florence Tushabe, “Evaluation of multiple enrollment for fingerprint recognition”, IEEE Global Summit on Computer \& Information Technology, 2014, pp.1-6.
[15]BinduGarg, ArjunChaudhary, KunalMendiratta and Vijay Kumar, “Fingerprint Recognition Using Gabor Filter”, International Conference on Computing for Sustainable Global Development (INDIACom), 2014, DOI: 10.1109/IndiaCom.2014.6828105.
[16]Satish S Bhairannawar, SayantamSarkar, Raja K B and Venugopal K R, “An Efficient VLSI Architecture for Fingerprint Recognition using O2D-DWT Architecture and Modified CORDIC-FFT”, IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES 2015), Kozhikode (Calicut), India, 2015, pp.193-197.
[17]Om Preeti Chaurasia, Saumya Ranjan Giri, Anchal Garg, "A Novel Algorithm for Minutiae Matching", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.4, No.3, pp.8-14, 2012.DOI: 10.5815/ijigsp.2012.03.02.
[18]Jyoti Malik,Dhiraj Girdhar,Ratna Dahiya,G. Sainarayanan,"Reference Threshold Calculation for Biometric Authentication", IJIGSP, vol.6, no.2, pp.46-53, 2014.DOI: 10.5815/ijigsp.2014.02.06
[19]Shiv Gehlot, John Deva Kumar,"The Image Segmentation Techniques", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.9, No.2, pp.9-18, 2017.DOI: 10.5815/ijigsp.2017.02.02
[20]Iwasokun Gabriel Babatunde, “Fingerprint Matching Using Minutiae-Singular Points Network”, International Journal of Signal Processing, Image Processing and Pattern Recognition”, Volume 8, Issue 2, 2015, pp.375-388.