DocumentCode :
3687343
Title :
Fingerprints based gender classification using Adaptive Neuro Fuzzy Inference System
Author :
Suman Sahu;A. Prabhakar Rao;Saurabh Tarun Mishra
Author_Institution :
Rungta College of Engineering and Technology, Bhilai India, Department of Electronics and Telecommunication
fYear :
2015
fDate :
4/1/2015 12:00:00 AM
Firstpage :
1218
Lastpage :
1222
Abstract :
In this paper, the Gender through Fingerprints have been determined by using Adaptive Neuro Fuzzy Inference System (ANFIS) method. Finger prints verification is one of the most reliable personal identification method and it plays a very important role in forensic application like criminal investigation. Finger prints has been used as a biometric for the gender identification because of its unique nature and do not change throughout the life of an individual. To classify a given fingerprint image as male or female, we extracted the most significant features such as RVA and Frequency Domain Analysis (Frequency based feature such as Horizontal, vertical, diagonal & amplitude).These features were then used to train the ANFIS classifier. The experimental results showed that the proposed system can be used as a prime candidate in forensic anthropology with a higher accuracy than NN and Fuzzy individually.
Keywords :
"Fingerprint recognition","Forensics","Feature extraction","Discrete wavelet transforms","Biomedical imaging","Reliability","Accuracy"
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing (ICCSP), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICCSP.2015.7322700
Filename :
7322700
Link To Document :
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