| dc.identifier.citation | [1] Junta Doi and Masaaki Yamanaka, ”Discrete Finger and Palmar Feature Extraction for Personal Authentication”, IEEE Transact., Vol. 54, pp. 2213- 2219, 2005. [2] Yingbo Zhou and Ajay Kumar, ”Human Identification Using Palm-Vein Images”, IEEE Transactions, vol. 6, pp. 1259-1274, 2011. [3] Wenxiong Kang and Qiuxia Wu, ”Contactless palm vein recognition using a mutual foreground-based local binary pattern”, IEEE Transactions, vol. 9, pp. 1974-1985, 2014. [4] Wei Jia, et al., ”Histogram of Oriented Lines for Palmprint Recognition”, Ieee Transactions, vol. 44, pp. 385-395, 2014. [5] David Zhang, et al., ”An Online System of Multispectral Palmprint Verification”, IEEE Transactions, vol. 59, pp. 480-490, 2010. [6] J. Lu, et al., ”Enhanced Gabor-based region covariance matrices for palmprint recognition”, Electronics Letters, vol. 45, pp. 880, 2009. [7] Feng Yue, et al., ”Hashing Based Fast Palmprint Identification for Large-Scale Databases”, IEEE Transactions, vol. 8, pp. 769-778, 2013. [8] Raffaele Cappelli, et al., ”A fast and accurate palmprint recognition system based on minutiae”, IEEE transactions, vol. 42, pp. 956-962, 2012. [9] Zhenhua Guo, ”Feature Band Selection for Online Multispectral Palmprint Recognition”, IEEE Transactions, vol. 7, pp. 1094-1099, 2012. [10] R Raghavendra and Christoph Busch, ”Novel image fusion scheme based on dependency measure for robust multispectral palmprint recognition”, Pattern Recognition, vol. 47, pp. 2205-2221, 2014. [11] Jeen-Shing Wang, et al., ”A k-nearest-neighbor classifier with heart rate variability feature- based transformation algorithm for driving stress recognition”, Neurocomputing, vol.116, pp. 136-143, 2013. [12] Moussadek Laadjel, et al., ”Combining Fisher locality preserving projections and passband DCT for efficient palmprint recognition”, Neurocomputing, vol. 152, pp. 179-189, 2015. [13] LinLin Shen, et at., ”Gabor wavelets and general discriminant analysis for face identification and verification”, ScienceDirect - Image and Vision Computing, vol.25, pp. 553-563, 2007. [14] LinLin Shen, et at., ”Gabor wavelets and general discriminant analysis for face identification and verification”, ScienceDirect - Image and Vision Computing, vol.25, pp. 553-563, 2007. [15] Jifeng Dai, et al., ”Robust and Efficient Ridge-Based Palmprint Matching”, IEEE Transactions, vol. 34, pp. 1618-1632, 2012. [16] Lu´ cia Carreira, et al., ”Personal identification from degraded and incomplete high resolution palmprints”, IET Biometrics, vol. 4, pp. 53-61,205. [17] J. Dai and J. Zhou, ”Multifeature-Based High- Resolution Palmprint Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, pp. 945-957, 2011. [18] C. Lakshmi Deepika and A. Kandaswamy and C. Vimal and B. Satish, ”Palmprint authentication using modified legendre moments”, Procedia Computer Science, vol. 2, pp. 164 - 172, 2010. [19] Michael, Goh Kah Ong and Connie, Tee and Teoh, Andrew Beng Jin, ”A Contactless Biometric System Using Multiple Hand Features”, J. Vis. Comun. Image Represent., vol. 23, pp. 1068-1084, 2010. | in_ID |
