#AIRCC, #ACII, #FaceRecognition, #LocalRegions, #IdenticalTwins, #Invariant Moment, #Pseudo-ZernikeMoment
Journal Name: Advanced Computational Intelligence: An International Journal (ACII)
ISSN : 2454 - 3934
Website URL: https://airccse.org/journal/acii/index.html
Title:Local Region Pseudo-Zernike Moment- Based Feature Extraction for Facial Recognition of Identical Twins
Author: Zahra
Ahmadi-Dastjerdi1 and
Karim Faez2, 1Islamic Azad University,Iran and 2Amirkabir University of Technology, Iran
ABSTRACT
In the domain of image
processing, face recognition is one of the most well-known research field. When
humans have very similar biometric properties, such as identical twins, the
face recognition system is considered as a challengeable problem. In this
paper, the AdaBoost method is utilized to detect the facial area of input
image. After that the facial area is divided into some local regions. Finally,
new efficient facial-based identical twins feature extractor based on the
geometric moment is applied into local regions of face image. The used feature
extractor is Pseudo-Zernike Moment (PZM) which is employed inside the local
regions of facial area of identical twins images. To evaluate the proposed
method, two datasets, Twins Days Festival and Iranian Twin Society, are
collected where the datasets includes scaled and rotated facial images of
identical twins in different illuminations. The experimental results
demonstrates the ability of proposed method to recognize a pair of identical
twins in different situations such as rotation, scaling and changing
illumination
KEYWORDS
Face Recognition, Local Regions, Identical Twins, Invariant Moment, Pseudo-Zernike Moment
Volume Url : https://airccse.org/journal/acii/vol1.html
Paper Url: https://airccse.org/journal/acii/papers/1114acii03.pdf
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