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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 4, ISSUE 3, MARCH 2015

A Literature Survey of Facial Recognition of Identical Twins

Nishu, Navdeep Kaur

DOI: 10.17148/IJARCCE.2015.4372

Abstract: Biometric identification system must be able to distinguish between individuals even in situation where the biometric signature may be similar, such as in the identical twins. Main focus is on twin based image retrieval which retrieves all image from database by matching some of the basic features of identical twins like nose, lips, eyes, forehead and face features.īŋŊ With the advancement of computer technology Image Retrieval based on Identical twin face recognition is a challenging task because of the high degree of similarity in their overall facial appearance. Commercial face recognition systems exhibit poor performance in differentiating between identical twins under practical conditions as they cannot be discriminated based on DNA.

 



Keywords: Face recognition, Facial marks, Identical twins, Image retrieval

How to Cite:

[1] Nishu, Navdeep Kaur, “A Literature Survey of Facial Recognition of Identical Twins,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.4372