Open AccessFacial Feature Extraction Based on Private Energy Map in DCT Domain
Author(s) -
Kim Ki Hyun,
Chung YunSu,
Yoo JangHee,
Ro Yong Man
Publication year - 2007
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.07.0206.0218
Subject(s) - discrete cosine transform , artificial intelligence , energy (signal processing) , face (sociological concept) , feature extraction , image (mathematics) , feature (linguistics) , pattern recognition (psychology) , computer science , computer vision , facial recognition system , mathematics , statistics , social science , linguistics , philosophy , sociology
This letter presents a new feature extraction method based on the private energy map (PEM) technique to utilize the energy characteristics of a facial image. Compared with a non‐facial image, a facial image shows large energy congestion in special regions of discrete cosine transform (DCT) coefficients. The PEM is generated by energy probability of the DCT coefficients of facial images. In experiments, higher face recognition performance figures of 100% for the ORL database and 98.8% for the ETRI database have been achieved.