Multispectral palmprint identification method using rotation invariant variance measures
Abdallah Meraoumia, Maarouf Korichi, Hakim Bendjenna, Salim Chitroub · 2016
Biometric technologies are becoming the foundation of an extensive array of highly secure identification and personal verification solutions. Nowadays, palmprint identification is a novel and one of the most reliable biometrically based technology in applications of personal identification due to its highly stability and uniqueness. In this paper, biometric security system for access control based on multi-spectral palmprint is presented. To represent texture information, rotation invariant variance measures is used. Finally, a hamming distance score is employed to measure the similarity between templates of palmprints during the atching phase. The results show that a rotation invariant variance measure is robust to some extent in rotation of the images. The accuracy and speed of the proposed method can meet the requirements of an online biometric identification.