TY - GEN
T1 - An authentication method by high spectral resolution palm datacube
AU - Sato, Yuta
AU - Akazawa, Fumitsugu
AU - Muramatsu, Daigo
AU - Matsumoto, Takashi
AU - Nakamura, Atsushi
AU - Sota, Takayuki
PY - 2013/10/17
Y1 - 2013/10/17
N2 - A biometric authentication method is proposed based on hyper spectral image data derived from the palm of the hand. The data are acquired using a recently developed device that captures reflectance across the 396.37-990.64 nm range with a spectral resolution of 0.93 nm. The acquired image data represent the distributions of various biological substances. First, the proposed method computes the spatial correlations between the test data and a set of stored template data for each wavelength of the spectrally resolved image. Next, the algorithm computes a score by integrating the spatial correlations for each wavelength. This method incorporates the well-known vein structure in the NIR range and other rather intricate structures located in the shallower parts of hands. In the evaluation, 1500 data were acquired from 30 subjects and the equal error rate was 0.611%.
AB - A biometric authentication method is proposed based on hyper spectral image data derived from the palm of the hand. The data are acquired using a recently developed device that captures reflectance across the 396.37-990.64 nm range with a spectral resolution of 0.93 nm. The acquired image data represent the distributions of various biological substances. First, the proposed method computes the spatial correlations between the test data and a set of stored template data for each wavelength of the spectrally resolved image. Next, the algorithm computes a score by integrating the spatial correlations for each wavelength. This method incorporates the well-known vein structure in the NIR range and other rather intricate structures located in the shallower parts of hands. In the evaluation, 1500 data were acquired from 30 subjects and the equal error rate was 0.611%.
KW - Biometric authentication
KW - Hyperspectral datacube
KW - Spectrally resolved images
UR - http://www.scopus.com/inward/record.url?scp=84885393247&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885393247&partnerID=8YFLogxK
U2 - 10.1109/ICBAKE.2013.47
DO - 10.1109/ICBAKE.2013.47
M3 - Conference contribution
AN - SCOPUS:84885393247
SN - 9780769550190
T3 - Proceedings - 2013 International Conference on Biometrics and Kansei Engineering, ICBAKE 2013
SP - 239
EP - 244
BT - Proceedings - 2013 International Conference on Biometrics and Kansei Engineering, ICBAKE 2013
T2 - 2013 International Conference on Biometrics and Kansei Engineering, ICBAKE 2013
Y2 - 5 July 2013 through 7 July 2013
ER -