@conference {1177, title = {Toward an attack-sensitive tamper-resistant biometric recognition with a symmetric matcher: A fingerprint case study}, booktitle = {IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)}, year = {2014}, pages = {175-180}, publisher = {IEEE}, organization = {IEEE}, address = {Dec., 9-11, 2014, Orlando (Florida)}, doi = {10.1109/CIBIM.2014.7015460}, url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7015460\&refinements\%3D4251880635\%26filter\%3DAND\%28p_IS_Number\%3A7011733\%29}, author = {Rita Wong and Norman Poh and Gian Luca Marcialis} } @article { 1428, title = {A Critical Analysis of Adaptive Biometric Systems}, journal = {IET Biometrics}, year = {2012}, month = {2012}, abstract = {
Biometric-based person recognition poses a challenging problem because of large variability in biometric sample quality encountered during testing and a restricted number of enrollment samples for training. Solutions in the form of adaptive biometrics have been introduced to address this issue. These adaptive biometric systems aim to adapt enrolled emplates to variations in samples observed during operations. However, despite numerous advantages, few commercial endors have adopted auto-update procedures in their products. This is due in part to the limited understanding and imitations associated with existing adaptation schemes. In view of that the topic of adaptive biometrics has not been ystematically investigated, this study works towards filling this gap by surveying the topic from a growing body of the recent literature and by providing a coherent view (critical analysis) of the limitations of the existing systems. In addition, the authors have also identified novel research directions and proposed a novel framework. The overall aim is to advance the state-of-the-art and improve the quality of discourse in this field.
}, author = {Norman Poh and Ajita Rattani and Fabio Roli} }