Person Identification by Lips using SGLDM and Support Vector Machine

Authors

  • 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

Keywords:

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

Abstract

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-25

Issue

Volume 4, Issue 1, March-April-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Sameer Ahmad Mir, Qurat-ul-Ain, Sohrab Khan, Mustafa Ahmad Bhat, Haider Mehraj, " Person Identification by Lips using SGLDM and Support Vector Machine, IInternational 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.