Notice Board: Call for Paper Vol. 8 Issue 10      Submission Start Date: September 30, 2021      Acceptence Notification Start: October 12, 2021      Submission End: October 18, 2021      Final MenuScript Due: October 22, 2021      Publication Date: October 31, 2021






Volume 2 Issue 10

Author Name
Malkhede Seema Krishna, Surendra Vishwakarma
Year Of Publication
2015
Volume and Issue
Volume 2 Issue 10
Abstract
Biometric authentication and authorization play an important role in data and network security. Biometric component such as eye face and finger play an important role in security system. The variation behavior of face and iris suffered a problem of recognition and detection. But finger print is most important component of biometric. In this paper we proposed a feature selection cum feature optimization process using wavelet transform function and TLBO algorithm. The wavelet transform function well knows texture feature extraction technique. The extracted feature not contains noised texture data. For the process of optimization used population based TLBO algorithm. In this proposed method used dual fitness function for selection of feature and optimization of feature. The dual fitness function work in terms of average length of template code for recognition process. For the estimation of recognition rate used hamming distance formula for count bit difference of genuine iris and imposter
PaperID
2015/02/IJMERT/10/135



Notice Board :

Call for Paper
Vol. 8 Issue 10

Submission Start Date:
September 30, 2021

Acceptence Notification Start:
October 12, 2021

Submission End:
October 18, 2021

Final MenuScript Due:
October 22, 2021

Publication Date:
October 31, 2021