Ear recognition using local binary pattern
Joint Authors
Abd al-Ghani, Batul Abd al-Sattar
al-Sulaifani, Ahmad Khurshid Muhammad
Source
Issue
Vol. 20, Issue 1 العلوم الصرفة و الهندسية (30 Jun. 2017), pp.120-128, 9 p.
Publisher
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Economics & Business Administration
Abstract EN
In this paper an efficient complete Ear Recognition System (ERS) has been proposed based on the Local Binary Pattern (LBP) approach that can investigate maximum recognition rate; hence it can be used for surveillance applications.
The feature extraction is based on calculating the LBP feature for the ear image and dividing the resultant LBP image into several overlap regions, and then extracts the histogram from each region.
These histograms are considered as a similarity measure in the classification phase.
To evaluate the proposed approach, the Indian Institute of Technology (IIT) Delhi processed ear image dataset has been considered, which contains 125 individual, each with at least three images acquired in the age group between 14 and 58 years.Practical experiments are employed on the proposed ERS to find the best image division regions at best LBP parameters (radius and neighbors) that lead to maximum recognition rate.
Detailed experiments show that the proposed system achieved 93.75 % rank-one recognition rate.
Furthermore, an experimental study is achieved to examine the less Equal Error Rate (EER).
Some identities from the database are considered as imposters.
In a verification scenario, the system achieved an Equal Error Rate (EER) of 14.94 %.
The Receiver Operating Characteristics (ROC) curve showed that the Genuine Acceptance Rate (GAR) is about 84%.
American Psychological Association (APA)
Abd al-Ghani, Batul Abd al-Sattar& al-Sulaifani, Ahmad Khurshid Muhammad. 2017. Ear recognition using local binary pattern. Journal of Dohuk University،Vol. 20, no. 1 العلوم الصرفة و الهندسية, pp.120-128.
https://search.emarefa.net/detail/BIM-794487
Modern Language Association (MLA)
Abd al-Ghani, Batul Abd al-Sattar& al-Sulaifani, Ahmad Khurshid Muhammad. Ear recognition using local binary pattern. Journal of Dohuk University Vol. 20, no. 1 Pure and Engineering Sciences (Jun. 2017), pp.120-128.
https://search.emarefa.net/detail/BIM-794487
American Medical Association (AMA)
Abd al-Ghani, Batul Abd al-Sattar& al-Sulaifani, Ahmad Khurshid Muhammad. Ear recognition using local binary pattern. Journal of Dohuk University. 2017. Vol. 20, no. 1 العلوم الصرفة و الهندسية, pp.120-128.
https://search.emarefa.net/detail/BIM-794487
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 127-128
Record ID
BIM-794487