The week's pick
Reseach Article
Palm Print Recognition System using Naive Bayes Classifier and Image Processing Tools
| Communications on Applied Electronics |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 2 - Number 6 |
| Year of Publication: 2015 |
| Authors: Hosne-Al-Walid, Tasnia Sadia, Anika Tahsin, Tanzima Asad, Nishat Tasnim |
10.5120/cae2015651794
|
Hosne-Al-Walid, Tasnia Sadia, Anika Tahsin, Tanzima Asad, Nishat Tasnim . Palm Print Recognition System using Naive Bayes Classifier and Image Processing Tools. Communications on Applied Electronics. 2, 6 ( August 2015), 45-49. DOI=10.5120/cae2015651794
Abstract
Biometric authentication has become a must in recent days. People have become part of many organization & website where security maintenance is very important to ensure convenient system usability. Research regarding this issue is of a large significance to improve and increase performance of existing biometric system. In this particular paper it is tried to add some new features to existing palm print recognition system to check whether it enhances the authentication performance or not. One of the most important features of biometric system is that it does not need not to be memorized or kept safely. In the current era of technological advancement Biometric system is the ultimate solution regarding authentication & identification process of tomorrow’s world. In this system human palm has used for both ID & Password which is uniquely used by the owner of that palm print only. The main and significant features of a palm print are extracted and stored in a database for enrollment and verification of human identification. A distinct feature of biometric system is that it can be used anywhere you want such as sign in a website, enter a building, attendance, bank account or financial security, security of highly classified information and where ever authentication of identity is required. People are more vulnerable to security attack now. One can enter your private information without engaging much effort. Even most complex passwords cannot ensure 100% security. So, you need not to create different complex passwords and memorize them when you use a biometric system. Firstly images are preprocessed and the features are extracted to store them in the database to enroll the human. Because, the information should be available when you verify them using new data. Palm print provides a better performance for identification & authentication compared to other biometric systems.
References
- C. C. Han, H. L. Cheng, C. L. Lin, K. C. Fan, “PersonalAuthentication Using Palmprint Features”, Pattern Recognition,Vol. 36, No. 2, pp. 371-381, 2003
- JoytiMalik,RatnaDahiya ,G.Sainaryanan , “Personal Authentication using Palm print with Phase Congruency feature Extraction method” , International journal of signal processing Image Processing and pattern Recognition vol.4 no.3 ,September 2011.
- Biometric Introduction, www.wikipedia.org/biometrics.
- K. Delac, M. Grgic, “A Survey of Biometric Recognition Methods”, 46th International Symposium Electronics in Marine, ELMAR-2004, June 20[4] Biometric Introduction, www.wikipedia.org/biometrics.
- Chin-Chuan Han, Hsu-Liang Cheng, Chih-Lung Lin, Kuo- Chin Fan, “Personal authentication using palm-print features”, Pattern Recognition 36 (2003) 371 – 381 , December 2011.
- I KetutGedeDarma Putra, Erdiawan, “High Performance Palmprint Identification System Based On Two Dimensional Gabor”TELKOMNIKA Vol. 8, No. 3, pp.309-318, 2010.
- CASIA Palmprint Database, http://biometrics.idealtest.org/dbDetailForUser.do?id=5
- L. Fang, M.K.H. Leung, T. Shikhare, V. Chan, K. F. Choon,“Palmprint Classification”.
- SinaAkbariMistani, ShervinMinaee, EmadFatemizadeh, “Multispectral Palmprint Recognition Using a Hybrid Feature” ElectricalEngineering Department, Sharif University of Technology, Tehran, pp.1-7, 2011.
- PriyankaSomvanshi, MilindRane, “Survey of Palmprint Recognition”, International Journal of Scientific & Engineering Research, Vol. 3,pp.1-7, 2012.
- G.S. Lipane, S.B. Gundre, “Palm Print Recognition Review Paper”, International journals srg , pp. 183-185,.
- DewiYantiLiliana and Eries Tri Utaminingsih, “Thecombination of palm print and hand Geometry for biometricspalm recognition”, International Journal of Video &ImageProcessing and Network Security IJVIPNS-IJENS Vol: 12 No:01 , feb 2012.
- R.C. Gonzalez, R.E. Woods, “Digital Image Processing UsingMATLAB”, Second Edition, Pearson Education, 2002.7.
- K.Y. Rajput, Mellisa Amanna, Mankhush Jagawat ,Mayank Sharma , “Palm print Recognition using Image Processing”,TECHNIA-International journal of computer science andcommunication technologies, vol.3,jan 2011(ISSN 0974-3375).
- IITD PalmprintDatabase, http://www4.comp.polyu.edu.hk/~csajaykr/IITD/Database_Palm.htm.
- Zhang W.K. Kong, J. You, M. Wong, “On-line palmprint identification”, IEEE Transactions on Pattern Analysis and Machine Intelligence,Vol. 25 (9), pp.1041–1051, 2003.
- Abdul Ghafoor ,RaoNaveedIqbal and Shoiab Khan ,“Robust Image Matching Algorithm”, Video/Image processing and multimedia communication , 5july,2003
- Wong K. Y. E., Jamal A. Dargham, Ali Chekima and G.Sainarayanan, “Palmprint Identification Using 5 x 5 Sobel Operator,” Proceedings of First Seminar on Engineering andInformation Technology, 14-15 April 2008, Sabah Malaysia,Pages 208-211.
- N. Salman “Image Segmentation Based on Watershed and Edge Detection Techniques”.
- D.K. Theckedath, “Image Processing Using MATLAB Codes Fourth Edition”, Nandu Publications, 2009.
- Kong W.K., Zhang, D., Li W.X., “Palmprint feature extraction using 2-D Gabor filters.” Pattern recognition, Vol. 36, pp.2339–2347, 2003.
- PatprapaTunkpien,SasipaPanduwadeethorn, SuphakantPhimoltares, “Compact Extraction of Principle Lines in Palmprint Using Consecutive Filtering Operations”, Proceedings of the Second International Conference on Knowledge and Smart Technologies, pp.39-44, 2010.
- Tee Connie, Andrew TeohBeng Jin, Michael GohKahOng, David Ngo Chek Ling, “An automated palmprint recognition system”, Image andVisionComputing , Vol.23, pp.501–515, 2005
- Hafiz Imtiaz ,ShubhraAich ,ShaikhAnowarul Fattah , “ANovalPre-processing Technique for DCT-domain Palm-printRecognition” ,International Journal of scientific & TechnologyResearch ,volume 1 ,Issue 3.April 2012 ISSN 2277-8616.
- Jugal Kishore Patel,Sanjay Kumar Dubey,“ Deployment of Palm Recognition Approach using Image Processing Technique” ,International Journal of Computer Science Issues, Vol. 10, Issue 2, No 2, March 2013.
Index Terms
Keywords