Personal Recognition Using Fusion of Ear and Iris Biometrics

ISBN-13: 9786139969296 / Angielski / Miękka / 2018 / 220 str.

Farida Khursheed; Ajaz Hussain Mir

Opis

From security point of view, identity of a person is of critical importance. Increased threats to conventional security methods of personal identification has given rise to personal identification and verification systems based on biometrics. These systems establish human identity using individual's physical or behavioral attributes. These attributes besides being universal, unique and permanent need to be acceptable as well. One such biometric modality that has potential for further exploration is Ear. As a step in this direction, we have made an attempt to explore the potential of time series based Autoregressive (AR) modelling. Performance of AR model using ear biometrics motivated us to make an attempt for 100% RR of a person based on multimodal biometrics. After a study of state of art biometric modalities and potential of second order texture based methods having capability to extract information beyond visual perception, we found it reasonable to fuse AR based feature vector of Ear shape with second order texture based statistics of biometric modality Iris.

O autorze

Khursheed, Farida
Farida Khursheed is presently working as Associate Professor in Department of ECE NIT Srinagar, India. She did her PhD in the area of Biometrics. She has done her BE in Electronics and Communication Engineering and M.Tech in CIT. She has guided a number of M.Tech theses and has a number of international publications to her credit.