Abstract:

 The proposed fingerprint classification using Data Mining technique, Neuro Genetic-Nearest Neighbor based recognition, overcomes low recognition rate, low accuracy, increased time of recovery and improves the classification rate. The proposed method involves various stages like image enhancement, line detector based feature extraction and neural network classification using Learning Vector Quantization and Kohonen networks. Optimization of the neural parameters and recognition of images are done using Genetic algorithm based K Nearest Neighbor algorithm. The system is trained and tested on Fingerprint Database obtained from university of Bologna Italy, which consists of 900 samples. The exact image is recognized precisely from the classified database rather than the original set of database using Crisp and Fuzzy K Nearest Neighbor algorithm. This increases recognition accuracy and reduced execution time. The system is one of the most reliable methods of personal verification. This can be widely used in criminal identification, access authority verification, ATM card verification and many other civilian applications.
 

Keywords: Fingerprint Recognition, Data Mining, K Nearest Neighbor algorithms, Neural Network and Genetic algorithm.

(Full Paper 755 KB)

Biography:

	Ch.Ms. K.Umamaheswari is Assistant Professor in Department of Information Technology, PSG College of Technology. She is currently doing PhD in the Department of    Computer   Science      and Engineering in the area of Data  Mining. She has published many papers in National / International Journals and Conferences. She is a life member of various professional bodies like ISTE, ACS.
	Dr. S. Sumathi is Assistant Professor in Department of Electrical and Electronics Engineering with 17 years of experience in PSG College of Technology. She received her PhD degree  in the area of Data Mining from Bharathiar University in 2000. She has won the best paper award in IE Journal. She has published 70 papers in National / International Journals and Conferences and authored five books related to Soft Computing, Data Mining, Database Systems, Fuzzy logic and Neural Networks. She is a life member of various professional bodies like IE, ISTE and reviewer of International Journals like IETE.
	Dr. S. N. Sivanandan is Professor and Head of Department of Computer Science and Engineering with 35 years of experience in PSG College of Technology. He has won the Best Teacher award. He has published 300 papers in National / International Journals and Conferences and authored nine books related to Soft Computing, Data Mining, Control Systems, Neural Networks and Genetic algorithms. He has guided 20 Ph.D candidates. He is a reviewer of many International Journals. He is a life member of various professional bodies like IE (India), ISTE, CSI, ACS.
	Mr. K. K. N. Anburajan is a PG Student doing M.E. Control Systems in the Department of Electrical and Electronics Engineering, PSG College of Technology,   Coimbatore.   He completed his B.E degree in Anna University in the year 2002.

BibTex:

@ARTICLE{P1150729006,

AUTHOR = {K. Umamaheswari and S. Sumathi and S. N. Sivanandam and K. K. N. Anburajan},

TITLE = {neuro genetic-nearest neighbor based DATA mINING TECHNIQUES FOR FINGER print classification and recognition system},

JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing, GVIP},

YEAR = {2007},

VOLUME = {07},

ISSUE ={3},

PAGES={39--50}

}

(Full Paper 755 KB)