TY - GEN
T1 - Iris recognition using 2D-LDA + 2D-PCA
AU - Chen, Wen Shiung
AU - Chuan, Chi An
AU - Shih, Sheng Wen
AU - Chang, Shun Hsun
PY - 2009
Y1 - 2009
N2 - This paper presents a biometric iris recognition using 2D-LDA with embedding 2D-PCA. A new approach that the 2D-PCA is embedded into the 2D-LDA to improve its performance is proposed. The approach first finds the most concentrated training samples in each class, and uses the sample mean to represent the class. Then the 2D-PCA is adopted to find the projection matrix which can scatter the variance between classes. The results show that the new approach has an encouraging performance. The recognition rate up to 99.20% can be achieved.
AB - This paper presents a biometric iris recognition using 2D-LDA with embedding 2D-PCA. A new approach that the 2D-PCA is embedded into the 2D-LDA to improve its performance is proposed. The approach first finds the most concentrated training samples in each class, and uses the sample mean to represent the class. Then the 2D-PCA is adopted to find the projection matrix which can scatter the variance between classes. The results show that the new approach has an encouraging performance. The recognition rate up to 99.20% can be achieved.
KW - Biometric recognition
KW - Iris
KW - Linear Discriminant Analysis (LDA)
KW - Principal Component Analysis (PCA)
UR - http://www.scopus.com/inward/record.url?scp=70349221073&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349221073&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2009.4959722
DO - 10.1109/ICASSP.2009.4959722
M3 - Conference contribution
AN - SCOPUS:70349221073
SN - 9781424423545
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 869
EP - 872
BT - 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009
T2 - 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009
Y2 - 19 April 2009 through 24 April 2009
ER -