Person Identification by Lips using SGLDM and Support Vector Machine

Authors(5) :-Sameer Ahmad Mir, Qurat-ul-Ain, Sohrab Khan, Mustafa Ahmad Bhat, Haider Mehraj

Biometric authentication techniques are more consistent and efficient than conventional authentication techniques and can be used in monitoring, transaction authentication, information retrieval, access control, forensics, etc. In many cases human identification biometric systems are motivated by real-life criminal and forensic applications. One of the most interesting emerging method of human identification, which originates from the criminal and forensic practice, is human lips recognition. In this paper we consider lips texture and color features in order to determine human identity. In our project, we are using Spatial Gray Level Dependence Method (SGLDM). For classification purpose, Support Vector Machine (SVM) will be used and for dimensional reduction Principal component Analysis (PCA) will be used. This quantative comparison is implemented through MATLAB. A standard XMV2TS database consisting sample images of seven persons is created. An analysis will be performed on all collected images and parameters will be compared to establish a working principle for person identification using lip recognition. The system will use threshold technique as identification tool.

Authors and Affiliations

Sameer Ahmad Mir
Department of Electronics and Communication Engineering , BGSB University Rajouri J &k , India
Qurat-ul-Ain
Department of Electronics and Communication Engineering , BGSB University Rajouri J &k , India
Sohrab Khan
Department of Electronics and Communication Engineering , BGSB University Rajouri J &k , India
Mustafa Ahmad Bhat
Department of Electronics and Communication Engineering , BGSB University Rajouri J &k , India
Haider Mehraj
Assistant Professor, Department of Electronics and Communication Engineering, BGSB University Rajouri J &k, India

Biometric Authentication, SGLDM , SVM , PCA , Lip ReBiometric Authentication, SGLDM , SVM , PCA , Lip Recognitioncognition

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Publication Details

Published in : Volume 4 | Issue 1 | March-April 2018
Date of Publication : 2018-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 152-157
Manuscript Number : CSEIT411826
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sameer Ahmad Mir, Qurat-ul-Ain, Sohrab Khan, Mustafa Ahmad Bhat, Haider Mehraj, "Person Identification by Lips using SGLDM and Support Vector Machine", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 1, pp.152-157, March-April.2018
URL : http://ijsrcseit.com/CSEIT411826

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