[1]
|
Z. B. Zhang, S. L. Ma, and X. Han, (2006) Multiscale feature extraction of finger-vein patterns based on curvelets and local interconnection structure neural net-work, The 18th International Conference on Pattern Rec-ognition (ICPR’06).
|
[2]
|
K. Kanagawa, (2006) Finger vein authentication tech-nology and its future junichi hashimoto, Information & Telecommunication Systems Group, Japan IEEE.
|
[3]
|
A. Jain, R. M. Bolle, and S. Pankanti, (1999) Biometrics: Personal identification in networked society, Kluwer Academic Publishers, Dordrecht.
|
[4]
|
P. MacGregor and R. Welford, (1991) Veincheck: Imag-ing for security and personnel identification, Adv. Imag-ing 6 (7), 52-56.
|
[5]
|
P. L. Hawkes and D. O. Clayden, (1993) Veincheck re-search for automatic identification of people, in: Pre-sented at the Hand and Fingerprint Seminar at NPL.
|
[6]
|
L.Y. Wanga, G. Leedhamb, and D. S. Y. Choa, (2007) Minutiae feature analysis for infrared hand vein pattern biometrics, Pattern Recognition Society, Published by Elsevier Ltd, All rights reserved.
|
[7]
|
J. A. Gualtieri, J. L. Moigne, and C. V. Packer, (1992) Distance between images, Fourth Symposium on the Frontiers of Massively Parallel Computation, 216-223.
|
[8]
|
J. You, E. Pissaloux, J. L. Hellec, and P. Bonnin, (1994) A guided image matching approach using Hausdorff dis-tance with interesting points detection, Proceedings of the IEEE International Conference on Image Processing, 1, 968-972.
|
[9]
|
V. D. Gesù and V. Starovoitov, (1999) Distance-based functions for image comparison, Pattern Recognition Lett, 20 (2), 207-214.
|
[10]
|
A. Ghafoor, R. N. Iqbal and S. Khan, (2003) Robust image matching algorithm, Proceedings of the Fourth EURASIP Conference Focused on Video/Image Proc-essing and Multimedia Communications, 155-160.
|
[11]
|
V. Perlibakas, (2004) Distance measures for PCA-based face recognition, Pattern Recognition Lett, 25(6), 711- 724.
|
[12]
|
M. P. Dubuisson and A. K. Jain, (1994) A modified Hausdorff distance for object matching, Proceedings of the 12th IAPR International Conference on Pattern Rec-ognition, 1, 566-568.
|
[13]
|
J. Paumard, (1997) Robust comparison of binary images, Pattern Recognition Lett, 18(10), 1057-1063.
|
[14]
|
B. Takács (1998), Comparing face images using the modified Hausdorff distance, Pattern Recognition, 31(12), 1873-1881.
|
[15]
|
B. Guo, K.-M. Lam, K.-H. Lin, and W. C. Siu, (2003) Human face recognition based on spatially weighted Hausdorff distance, Pattern Recognition Lett, 24(1–3), 499-507.
|
[16]
|
K.-H. Lin, K.-M. Lam, and W. C. Siu, (2003) Spatially eigen-weighted Hausdorff distances for human face rec-ognition, Pattern Recognition, 36(8), 1827-1834.
|
[17]
|
Z. Zhu, M. Tang, and H. Lu, (2004) A new robust circu-lar Gabor based object matching by using weighted Hausdorff distance, Pattern Recognition Lett, 25(4), 515-523.
|
[18]
|
L. Hong, Y.F. Wan, and A. Jain, (1998) Fingerprint image enhancement: algorithm and performance evaluation, IEEE Transactions on Pattern Analysis and Machine In-telligence, 20(8).
|
[19]
|
D. Marr, (1982) Vision, San Francisco, Calif.: W. H. Freeman.
|
[20]
|
J. G. Daugman, (1993) High confidence visual recogni-tion of persons by a test of statistical independence, IEEE Trans, Pattern Analysis and Machine Intelligence, 15(11), 1148-1161.
|
[21]
|
U. Halici, L. C. Jain, and A. Erol, (1999) An introduction to fingerprint recognition, in: L. C. Jain, U. Halici, I. Hayashi, S. B. Lee, S. Tsutsui (Eds.), Intelligent Biomet-ric Techniques in Fingerprint and Face Recognition, CRC Press, Boca Raton, FL, 3-34.
|
[22]
|
R. C. Gonzalez, (2005) Digital Image Processing, Pub-lishing House of Electronics Industry, Beijing.
|
[23]
|
D. P. Huttenlocher, G. A. Klanderman, and W. J. Ruck-lidge, (1993) Comparing images using the Hausdorff dis-tance, IEEE Trans. Pattern Anal. Mach. Intell, 15(9), 850-863.
|
[24]
|
E. P. Vivek and N. Sudha, (2007) Robust Hausdorff dis-tance measure for face recognition, Pattern Recognition, Elsevier, 40(2), 431-442.
|
[25]
|
E. P. Vivek and N. Sudha, (2006) Gray Hausdorff dis-tance measure for comparing face images, IEEE Transac-tions on Information, Forensics and Security, 1(3), 342-349
|
[26]
|
.
M. Sezgin and B. Sankur, (2004) Survey over image thresholding techniques and quantitative performance evaluation [J], Journal of Electronic Imaging, 11.
|
[27]
|
S. Lachance, R. Bauer, and A. Warkentin, (2004) Appli-cation of region growing method to evaluate the surface condition of grinding wheels, International Journal of Machine Tools and Manufacture, 44(7-8), 823-829.
|
[28]
|
R. Saurel, F. Petitpas, and R. A. Berry, (2009) Simple and efficient relaxation methods for interfaces separating compressible fluids, cavitating flows and shocks in mul-tiphase mixtures, Journal of Computational Physics, 228(5), 20 March, 1678-1712.
|
[29]
|
C. C. Kang and W. J. Wang, (2007) A novel edge detec-tion method based on the maximizing objective function, Pattern Recognition, 40(2), 609-618.
|
[30]
|
Z. B. Zhang, D. Y. Wu, S. L. Ma, and J. Ma, (2005) Mul-tiscale feature extraction of finger-vein patterns based on wavelet and local interconnection structure neural net-works and brain,. ICNN&B’05, 2(13-15), 1081-1084.
|
[31]
|
V. Barra, (2006) Robust segmentation and analysis of DNA microarray spots using an adaptative split and merge algorithm, Computer Methods and Programs in Biomedicine, 81(2), 174-180.
|
[32]
|
J. M. Lu, X. Yuan, and T Yahagi, (2006) A method of face recognition based on fuzzy clustering and parallel neural networks, Signal Processing, 86(8), 2026-2039.
|