TY - GEN
T1 - A novel multi-division template protection (MDTP) scheme for iris recognition based on fuzzy vault
AU - Wang, Ning
AU - Li, Qiong
AU - Han, Qi
AU - El-Latif, Ahmed A.Abd
AU - Niu, Xiamu
PY - 2011
Y1 - 2011
N2 - Recently, biometric template protection has received ever increasing research interests. However, most of the proposed schemes are not yet sufficiently mature for large scale deployment, they do not meet the requirements of security, and high-recognition performance. For example, matching methods based on Euclidean measurement ignore the difference of different component easily. Mean quantization method may not be provide higher security. For the longer iris, fuzzy vault scheme will take less security when used directly. In this paper, a novel authentication schemes for biometric template protection is proposed. First, we introduce a sequence matching threshold method to enhance the recognition performance. Then, we propose a binary transform method using gray code for quantization to suit the sequence matching threshold. Finally, we propose Multi-Division Template Protection (MDTP) framework based on fuzzy vault with higher performance at different equation recovery situation. The experimental results show the superior performance of the proposed schemes than other methods.
AB - Recently, biometric template protection has received ever increasing research interests. However, most of the proposed schemes are not yet sufficiently mature for large scale deployment, they do not meet the requirements of security, and high-recognition performance. For example, matching methods based on Euclidean measurement ignore the difference of different component easily. Mean quantization method may not be provide higher security. For the longer iris, fuzzy vault scheme will take less security when used directly. In this paper, a novel authentication schemes for biometric template protection is proposed. First, we introduce a sequence matching threshold method to enhance the recognition performance. Then, we propose a binary transform method using gray code for quantization to suit the sequence matching threshold. Finally, we propose Multi-Division Template Protection (MDTP) framework based on fuzzy vault with higher performance at different equation recovery situation. The experimental results show the superior performance of the proposed schemes than other methods.
KW - Fuzzy vault
KW - Gray code
KW - iris recognition
KW - sequence distance
UR - https://www.scopus.com/pages/publications/83455257832
U2 - 10.1109/IIHMSP.2011.66
DO - 10.1109/IIHMSP.2011.66
M3 - 会议稿件
AN - SCOPUS:83455257832
SN - 9780769545172
T3 - Proceedings - 7th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2011
SP - 101
EP - 104
BT - Proceedings - 7th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2011
T2 - 7th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2011
Y2 - 14 October 2011 through 16 October 2011
ER -