Fingerprint Image Enhancement Techniques and Performance ...

ISSN 2249-6343International Journal of Computer Technology and Electronics Engineering (IJCTEE)Volume 2, Issue 2False Acceptance Rate (FAR): Also the first sample of eachfinger in the database is matched against the first sample ofthe remaining fingers to compute the False Acceptance Rate.evaluate the computing efficiency for the two enhancementtechniques are Second Derivative of Gaussian Filter and FastFourier Transformation, and use the statistical method tocompare with performances of extraction minutiae. Theresult shows the better performance for the fingerprintenhancement is Second Derivative Of Gaussian Filter. All theexperiments are performed in a Intel core I5 2.30GHz PC.We use databases of FVC2004.ACKNOWLEDGMENTThe authors would like to thanks Raymond Thai forproviding a useful report on fingerprint image enhancement.Also I would be very thankful to Shlomo Greenberg, MayerAladjem, Daniel Kogan and Itshak Dimitrov, KeokanlayaSihalath, Somsak Choomchuay, Shatoshi Wada, JiangangCheng, Jie Tian, and Kazuhiko Hamamoto for their studypapers regarding fingerprint image enhancement. Also theauthor would like to welcome any comments and suggestionsfrom the anonymous reviewers.Table 1 False Rejection Rate of Fingerprint template matchingusing SDG and FFTTable 2 False Acceptance Rate of Fingerprint templatematching using SDG and FFTVII. CONCLUSIONSA lot of work has been done in the area of fingerprint imageenhancement. But despite the existence of numerouscommercial fingerprint image identification/recognitionsystems there are still important challenges for furtherresearch.The problems such as wet, dry and normal conditions offingers, pressure of finger over the device are of significantimportance. This paper provides a recent advances infingerprint image enhancement techniques to improve therobustness of fingerprint image enhancement to change infinger position, finger condition and finger pressure. In thispaper, in order to explain various enhancements method, weREFERENCES[1] RaymondThai, “Fingerprint Image Enhancement and MinutiaeExtraction” 2003[2] Shlomo Greenberg, Mayer Aladjem, Daniel Kogan and ItshakDimitrov, “Fingerprint Image Enhancement using FilteringTechniques” .[3] Muhammad Umer Munir and Muhammad Younas Javed “FingerprintMatching using Gabor Filters” .[4] Sharat Chikkerur, Alexander N.Cartwright, Venu Govindaraju,“Fingerprint Enhancement Using STFT Analysis” preprintedsubmitted to Elsevier Science 2May 2006.[5] Keokanlaya Sihalath, Somsak Choomchuay, Shatoshi Wada, andKazuhiko Hamamoto “Fingerprint Image Enhancement with SecondDerivative Gaussian Filter and Directional Wavelet Transform” 2010Second International Conference on Computer Engineering andApplication .[6] Somsak Choomchuay, Keokanlaya Sihalath, “An Application ofSecond Derivative of Gaussian Filters in Fingerprint ImageEnhancement”, 978-1-4244-4713-8/ 2010 IEEE.[7] G.Z Yang, P. Burger, D.N. Firmin, and S.R. Underwood, “Structureadaptive anisotropic image filtering,” Image and Vision Computing,no.14, pp.135-145, 1996.[8] S. Greenberg, “Adaptive anisotropic filter applied for Fingerprintenhancement,” submited for publication, 1999[9] A. K. Jain, S. Prabhakar and L. Hong, "A Multichannel Approach toFingerprint Classification", IEEE Transactions on PAMI, Vol.21,No.4, pp. 348-359, April 1999.[10] A. Ross, A. K. Jain, and J. Reisman, "A Hybrid Fingerprint Matcher",Pattern Recognition, Vol. 36, No. 7, pp. 1661-1673, 2003.[11] Q. Li, L. Zhang, J. You, D. Zhang, and P. Bhattacharya,”Dark LineDetection with Line Width Extraction,” Proc. of ICIP2008, pp.621-624.[12] F. Yue, W.Zuo, K.Wang, and D. Zhang, “A Performance Evaluation ofFilter Design and Coding Schemes for Palmprint Recognition,” Proc.Of ICPR 2008.[13] Somsak Choomchuay, Keokanlaya Sihalath, “An Application ofSecond Derivative of Gaussian Filters in Fingerprint ImageEnhancement:[14] Greenberg, S., Aladjem, M., Kogan, D. & Dimitrov, I. (2000)Fingerprint Image Enhancement using Filtering Techniques. 15thInternational Conference on pattern Recognition, Barcelona, vol. III,pp. 326–329.[15] Jiangang Cheng, Jie Tian, “Fingerprint enhancement with dyadicscale-space” , Pattern Recognition Letters 25 (2004) 1273–1284189