參考文獻 |
[1] A. K. Jain, R. Bolle and S. Pankanti, Biometrics Personal
Identification in Networked Society, Kluwer Academic Publishers,
Massachusetts, 1999.
[2] Y.Yoshitomi, T.Miyaura, S.Tomita. and S.Kimura, “Face
Identification Thermal Image Processing,” Proceeding 6th IEEE
International Workshop on Robot and Human Communication,
RO-MAN' 97 SENDAI.
[3] J.M.Cross and C.L. Smith,” Thermographic imaging of the
subcutaneous vascular network of the back of the hand for biometric
identification,” Institute of Electrical and Electronics Engineers 29th
Annual 1995 International Carnahan Conference on Published:
1995 , Page(s): 20 -35
[4] B. Miller,” Vital sign of identify,” IEEE Spectrum, 31(2), pp. 22-30,
1994.
[5] A. Jain, L. Hong and R. Bolle,” On-line fingerprint verification,”
IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, pp. 302-313, April,
1997.
[6] L. Coetzee, and E. C. Botha, “Fingerprint recognition in low quality
images,” Pattern Recognition, vol. 26, pp. 1441-1460, October,
1993.
[7] C. C. Han, P. C. Chang, and C. C. Hsu,” Personal identification
using hand geometry and palm-print,” Fourth Asian Conference on
Computer Vision (ACCV),pp.747-752,2000.
[8] H. J. Lin, H. H. Guo, F. W. Yang and C. L. Chen,” Handprint
Identification Using Fuzzy Inference,” The 13th IPPR Conference on
Computer Vision Graphics and Image Processing, pp 164-168,2000.
[9] D. Zhang and W. Shu,” Two novel characteristics in palmprint
verification: datum point invariance and line feature matching,”
Pattern Recognition vol. 32, pp. 691-702, 1999.
[10] J. Chen, C. Zhang and G. Rong,” Palmprint recognition using
crease,” International Conference on Image Processing, vol. 3 , pp.
234 –237, 2001.
[11] W. K. Kong and D. Zhang,” Palmprint texture analysis based on
low-resolution images for personal authentication,” 16th
International Conference on Pattern Recognition, vol. 3 , pp.
807 –810, 2002.
[12] X. Wu, K. Wang and D. Zhang, “Fuzzy directional element energy
feature (FDEEF) based palmprint identification,” 16th International
Conference on Pattern Recognition, vol. 1 , pp. 95 –98, 2002.
[13] N. Duta, A. K. Jain and K. V. Mardia, ”Matching of palmprints,”
Pattern Recognition Letters , vol. 23, issue 4, pp. 477-485, 2002.
[14] J. You, W. Li and D. Zhang, ”Hierarchical palmprint identification
via multiple feature extraction ,” Pattern Recognition , vol. 35, issue
4, pp. 847-859, 2002.
[15] G. Lu, D. Zhang and K. Wang, ”Palmprint recognition using
eigenpalms features,” Pattern Recognition Letters ,vol. 24, issue
9-10, pp. 1463-1467, June, 2003.
[16] C. C. Han, H. L. Cheng, C. L. Lin and K. C. Fan,” Personal
Authentication Using Palmprint Features ”, Pattern Recognition, vol.
36, issue 2, pp. 371~381, 2003.
[17] A. K. Jain and N. Duta, ”Deformable matching of hand shapes for
verification,” Proceeding of ICIP, 1999.
[18] D. G. Joshi, Y. V. Rao, S. Kar, V. Kumar and R. Kumar,”
Computer-vision-based approach to personal identification using
finger crease patterns,” Pattern Recognition, vol. 31, pp. 15~22,
1998.
[19] A.J. Rice, “A quality approach to biometric imaging,” Image
Processing for Biometric Measurement, IEE Colloquium Apr 1994,
pp. 4/1~4/5
[20] S. K. Im, H. M. Park, S. W. Kim, C. K. Chung and H. S
Choi, ”Improved vein pattern extracting algorithm and its
implementation,” Consumer Electronics, 2000.ICCE. 2000 Digest of
Technical Paper International Conference on, 2000, pp. 2~3.
[21] S. K. Im, H. M. Park, Y. W. Kim, S. C. Han, S. W. Kim, and C. H.
Hang, ”An biometric identification system by extracting hand vein
patterns,” Journal of the Korean Physical Society, vol. 38, pp.
268~272, March 2001.
[22] W. Li, D. Zhang and Z. Xu, “Image alignment based on invariant
features for palmprint identification,” Signal Processing: Image
Communication ,vol. 18, issue 5, pp. 373-379, May, 2003.
[23] A. J. Mehnert, J. M. Cross and C. L. Smith, “Thermalgraphic
imaging: segmentation of the subcutaneous vascular network of the
back of the hand (Research Report),” Perth, Western Austrlia: Edith
Cowan University, Australian Institute of Security and Applied
Technology, 1993.
[24] H. Kuno, Sekigaisen Kougaku, pp. 22, IEICE, Tokyo, 1994 (in
Japanese).
[25] E. F. Godik and Y. V. Guljaev, “ Functional imaging of the human
body,” IEEE Engineering in Medicine and Biology, 10(4), pp. 21~29,
1991
[26] W. L. Wolfe and G. J. Zissis, The infrared handbook, Prepared by
The Infrared Information and Analysis (IRIA) Center, Environmental
Research Institute of Michigan for the Office of Naval Research,
Department of the Navy, Washington, DC, 1978.
[27] D. C. Harris, Infrared window and dome materials, The
International Society for Optical Engineering, published by SPIE,
Bellingham, Washington, July 1992.
[28] A. A. Newman, (Ed.), Photographic techniques in scientific
research (vol. 2), London: Academic Press, 1976.
[29] M. Sonka, V. Hlavac and R. Boyle, Image Processing, Analysis,
and Machine Vision, Second edition, PWS publishing, New York,
1999.
[30] C. L. Lin, K. C. Fan and F. D. Chou,” A novel approach to
palmprint verification utilizing finger-webs as datum points,”
submitted to Image and Vision Computing.
[31] X. Z Wang, H. W. Yang, M. H. Zhao and J. Sun,” A decision tree
based on hierarchical decomposition,” International Conference on
Machine Learning and Cybernetics, vol.4, pp. 1824 –1828, Nov.
2002.
[32] G. Borgefors, G. Ramella and G. Sanniti Di Baja,” Hierarchical
decomposition of multiscale skeletons,” IEEE Trans. Pattern
Analysis and Machine Intelligence, vol. 23, issue 11, pp. 1296 –1312,
Nov. 2001.
[33] E. Sharon, A. Brandt, and R. Basri,” Fast multiscale image
segmentation,” IEEE Conference on Computer Vision and Pattern
Recognition, vol. 1, pp. 70 -77,13-15 June 2000.
[34] H. Rom and G. Medioni,” Hierarchical decomposition and axial
shape description,” IEEE Computer Society Conference on Computer
Vision and Pattern Recognition, CVPR '92., pp 49 –55, 15-18 June
1992 .
[35] R. C. Gonzalez and R. E. Woods, Digital Image Processing,
published by Addison-Wesley Publishing Company, Inc., 1993.
[36] P. S. Wu and M. Li,” Pyramid edge detection based on stack filter,”
Pattern Recognition Letters, vol. 18, pp.239~248, 1997.
[37] J. Yoo, E. J. Coyle and C. A. Bouman,” Dual Stack Filters and the
Modified Difference of Estimates Approach to Edge Detection,”
IEEE Trans. Image Processing, vol. 6, pp. 1634~1645, December
1997.
[38] J. Yoo, C. A. Bouman, E. J. Delp, and E. J. Coyle, “The nonlinear
prefiltering and difference of estimates approaches to edge detection:
Application of stack filters,” CVGIP: Graph. Models Image Process.,
vol. 55, Mar. 1993.
[39] S. Mallat, “Multifreguency channel decompositions of images and
wavelet models,” IEEE Trans. Acoustics, Speech, Signal Processing,
vol. ASSP-37, no.12 pp. 2091-2110, DEC.1989.
[40] J. koenderink, “The structure of images,” in Biological Cybernetics.
New York: Springer Verlag. 1984.
[41] Y. Shinagawa and T. L. Kunil,” Unconstrained automatic images
matching using multiresolutional critical-point filter,” IEEE Trans.
on Pattern Analysis and Machine Intelligence, vol. 20, pp. 994~1010,
September 1998.
[42] Y. Qi and B. R. Hunt, “ A multiresolution approach to computer
verification of handwritten signatures,” IEEE Trans. Image
Processing, vol. 4, pp. 870~874, June 1995.
[43] J. You and P. Bhattacharya, “ A wavelet- based coarse-to-fine
image matching scheme in a parallel virtual machine environment,”
IEEE Trans. Image Processing, vol. 9, pp. 1547~1559, June 2000.
[44] S. M. Bozic, Digital and Kalman Filtering, Edward Arnold, 1979.
[45] K. S. Fu, R. C. Gonzalez and C. S. G. Lee, Robotics: Control,
Sensing, Vision, and Intelligence, pp. 426-427. McGraw-Hill, New
York, 1987.
[46] M. R. Spiegel, Theory and Problems of Probability and Statistics,
Schaum’s Outline Series, McGraw-Hill, New York, 1988.
[47] F. Kimura and M. Shridhar,” Handwritten numeral recognition
based on multiple algorithms,” Pattern Recognition, vol. 24,
pp.976~983, 1991.
[48] S. N. Shridhar,” Recognition of handwritten and machine printed
text of postal address interpretation,” Pattern Recognition Letters,
vol. 14, pp.291~302, 1993.
[49] J. Cao, M. Ahmadi and M. Shridhar,” Recognition of handwritten
numerals with multiple feature and multistrage classifier,” Pattern
Recognition, vol. 28, pp. 153~160, 1995.
[50] S. Beucher, ”The watershed transformation applied to image
segmentation,” 10th Pfefferkorn Conf. on Signal and Image
Processing in Microscopy and Microanalysis, 16-19 Sept. 1991,
Cambridge, UK, Scanning Microscopy International, suppl. 6. 1992,
pp. 299-314.
[51] K. Huang and H. Yan,” Off-line signature verification based on
geometric feature extraction and neural network classification,”
Pattern Recognition , vol. 30, pp. 7~17, 1997.
[52] G.Y. Chen, T.D. Bui. and A. Krzyzak,” Contour-based handwritten
numeral recognition using multiwavelets and neural networks,”
Pattern Recognition, vol. 36, pp. 1597~1604, 2003.
[53] K. Huang and H. Yan,” Signature using multiple neural
classifiers,” Pattern Recognition, vol. 30, pp. 1~7, 1997.
[54] M. A. Ismail and S. Gad,” Off-line arabic signature recognition and
verification,” Pattern Recognition, vol. 33, pp. 1727~1740, 2000.
[55] K. Fukunaga, Introduction to Statistical Pattern Recognition, 2nd ed.
New York: Academic, 1972.
[56] P. T. Yu and R. C. Chen,” Fuzzy stack filters- their definitions,
fundamental properties and application in images processing,” IEEE
Trans. Image Processing, vol. 5, pp. 838~854, December 1996.
[57] W. L. Lee and K. C. Fan, “ Design of optimal stack filter and under
MAE criterion,” IEEE Trans. Signal Processing, vol.47,
pp.3345~3355, December 1999.
[58] Y. Nakagawa and A. Rosenfeld, “ A note on the use of local min
and max operations in digital picture processing,” IEEE Trans. Syst.,
Man and Cybern., vol. SMC-8, pp. 632-635, Aug. 1978.
[59] C. C. Han K. C. Fan and Z. M. Chen, “ Finding of optimal stack
filter by graphic searching method,” IEEE Trans. Signal Processing,
vol. 45 pp. 1857-1862, July 1996.
[60] T. W. Ridler and S. Calvard,” Picture thresholding using an
iterative selection method,” IEEE transaction on System, Man and
Cybernetics, vol. 8, pp.630~632,1978. |