PARMAKİZİNDEN YÜZ TANIMA

Öz

Literatürde biyometrik tanıma sistemlerine yönelik birçok başarılı teknik, yaklaşım ve algoritma geliştirilmiş ve gerçekleştirilmiştir. Bu çalışmalar incelendiğinde biyometrik özellikler arasındaki ilişkinin analizine yönelik herhangi bir çalışmaya rastlanmamaktadır. Sunulan çalışmada parmakizi, yüz, iris, retina ve el geometrisi gibi biyometrik özellikler arasında olabilecek herhangi bir ilişkinin varlığı tartışılmakta ve kişilerin yalnızca parmakizini kullanarak yüzlerini tahmin etmeye yönelik yapay sinir ağları temelli yeni ve zeki bir sistem tanıtılmaktadır. Elde edilen sonuçlar, sunulan çalışmanın bu konuda gerçekleştirilmiş bir ilk çalışma olmasına ve sonuçların hiç bir son işlemden geçirilmeden en ham şekliyle sunulmasına rağmen başarısının kabul edilebilir niteliklerde olduğunu ve gelecekte konuyla ilgili farklı çalışmaların geliştirilmesine katkı sağlayacağını göstermektedir.

Anahtar Kelimeler

• Biyometrik teknikler, parmakizi tanıma, yüz tanıma, yapay sinir ağları, akıllı biyometrik sistemler.

Kaynakça

1. A. K. Jain, A. Ross and S. Pankanti, Biometrics:
2. a tool for information security, IEEE
3. Transactions on Information Forensics and
4. Security, (2006), vol. 1, no. 2, pp. 125-143.
5. D. Maio, D. Maltoni, A.K. Jain and S. Prabhakar,
6. Handbook of fingerprint recognition, Springer-
7. Verlag, New York, 2003.
8. D. Bouchaffra and A. Amira, Structural Hidden

9. Markov Models for Biometrics: Fusion of Face
10. and Fingerprint", In Special Issue of Pattern
11. Recognition Journal, Feature Extraction and
12. Machine Learning for Robust Multimodal
13. Biometrics, (2007), Article in press, available
14. online.
15. A.K. Jain, L. Hong, S. Pankanti, and R. Bolle, An
16. identity authentication system using fingerprints,
17. Proceedings of the IEEE, (1997), vol. 85, no. 9,
18. pp. 1365-1388.
19. L.C. Jain, U. Halici, I. Hayashi, S.B. Lee, S.
20. Tsutsui, Intelligent biometric techniques in
21. fingerprint and face recognition, CRC press, New
22. York, 1999.
23. M.H. Yang, D.J. Kriegman, and N. Ahuja,
24. Detecting faces in images: a survey, IEEE
25. Transactions on Pattern Analysis and Machine
26. Intelligence (24), No. 1, (2002), pp. 34-58.
27. W. Zhao, R. Chellappa, P.J. Phillips, and A.
28. Rosenfeld, Face recognition: a literature survey,
29. ACM Computing Surveys, (2003) vol. 35, pp.
30. -459,
31. J. Fierrez-Aguilar, D. Garcia-Romero, J. Ortega-
32. Garcia and J. Gonzalez-Rodriguez, Adapted userdependent
33. multimodal biometric authentication
34. exploiting general information, Pattern
35. Recognition Letters, (2005), Vol. 26, no. 16, pp.
36. -2639.
37. A.K. Jain, S. Pankanti, S. Prabhakar, L. Hong, A.
38. Ross, and J.L. Wayman, Biometrics: A Grand
39. Challenge, In Proceedings of the International
40. Conference on Pattern Recognition (2004),
41. (Cambridge, UK, August, vol. II), 935-942.
42. M. Indovina, U. Uludag, R. Snelick, A. Mink and
43. A. Jain, Multimodal biometric authentication
44. methods: a cots approach, Proc. MMUA 2003,
45. Workshop on Multimodal User Authentication,
46. (2003), pp. 99-106.
47. J. Fierrez-Aguilar, J. Ortega-Garcia, J. Gonzalez-
48. Rodriguez, J. Bigun, Discriminative multimodal
49. biometric authentication based on quality
50. measures, (2005), Pattern Recognition 38 (5),
51. –779.
52. A.K. Jain, L. Hong and Y. Kulkarni, F2ID: A
53. personal identification system using faces and
54. fingerprints, Proc. 14th International Conference
55. on Pattern Recognition, (1998), Brisbane, pp.
56. – 1375.
57. A.K. Jain, A. Ross, S. Prabhakar, An introduction
58. to biometric recognition, IEEE Transaction on
59. Circuits and Systems for Video Technology,
60. (2004), Vol. 14, No. 1, pp 4-19.
61. A. Jain, L. Hong; R. Bolle, On-line fingerprint
62. verification, IEEE Transactions on Pattern
63. Analysis and Machine Intelligence, (1997), vol.
64. , no. 4, pp. 302-314.
65. N. Ozkaya, S. Sagiroglu, A. Wani, An intelligent
66. automatic fingerprint recognition system design,
67. th International Conference on Machine
68. Learning and Applications, (2006), pp: 231 –
69. -
70. H. Cevikalp, M. Neamtu, M. Wilkes, and A.
71. Barkana, Discriminative common vectors for face
72. recognition, IEEE Transactions on Pattern
73. Analysis and Machine Intelligence, (2005), vol.
74. , no 1. pp. 4-13.
75. R. Snelick, U. Uludag, A. Mink, M. Indovina and
76. A. Jain, Large scale evaluation of multimodal
77. biometric authentication using state-of-the-art
78. systems, IEEE Transactions Pattern Analysis and
79. Machine Intelligence, (2005), vol. 27, no. 3, pp.
80. –455.
81. http://www.neurotechnologija.com/vf_sdk.html
82. I.J. Cox, J. Ghosn and P.N. Yianilos, Feature-
83. Based Face Recognition Using Mixture Distance,
84. Computer Vision and Pattern Recognition
85. (CVPR), 1996, (209-216).
86. S. Haykin, Neural Networks: A Comprehensive
87. Foundation, Macmillan College Publishing
88. Company, New York, 1994.
89. Ş. Sağıroğlu, E. Beşdok, ve M. Erler,
90. Mühendislikte Yapay Zeka Uygulamaları I:
91. Yapay Sinir Ağları, Ufuk Kitabevi, Ağustos
92. -
93. V.K. Sagar, K.J.A. Beng, Hybrid Fuzzy Logic
94. And Neural Network Model For Fingerprint
95. Minutiae Extraction, International Joint Conference on Neural Networks, (1999), pp.
96. -3259.
97. K.A. Nagaty, Fingerprints classification using
98. artificial neural networks: a combined. Structural
99. and statistical approach, Neural Networks, Vol.14
100. (2001), pp. 1293-1305.
101. D. Maio, D. Maltoni, Neural network based
102. minutiae filtering in fingerprints, 14th
103. International Conference on Pattern Recognition,
104. (1998), pp. 1654 -1658.
105. http://www.mathworks.com/access/helpdesk/help
106. /toolbox/nnet/nnet.html?/access/helpdesk/help/to
107. olbox,
108. M.F. Moller, A Scaled Conjugate Gradient
109. Algorithm. for Fast Supervised Learning, Neurall
110. Networks, 6, 1993,. p. 525-533.
111. N. Ozkaya, S. Sagiroglu, Intelligent Face Border
112. Generation System from Fingerprints, IEEE
113. International Conference on Fuzzy Systems
114. (FUZZ-IEEE 2008) in IEEE World Congress on
115. Computational Intelligence (WCCI 2008), IEEE
116. Catalog number: CFP08FUZ-CDR, ISBN: 978-1-
117. -1819-0, ISSN: 1098-7584, Congress:
118. , 1-6 June 2008, Hong Kong.
119. S. Sagiroglu, N. Ozkaya, An Intelligent
120. Automatic Face Contour Prediction System,
121. Advances in Artificial Intelligence, The 21.
122. Canadian Conference on Artificial Intelligence
123. (AI 2008), Lecture Notes in Computer Science,
124. Springer Berlin / Heidelberg, ISSN: 0302-9743
125. (Print) 1611-3349 (Online), ISBN 978-3-540-
126. -1, Volume: 5032/2008, Pages 246-258,
127. (DOI 10.1007/978-3-540-68825-9_24), 28-30
128. May 2008, Ontario.
129. S. Sagiroglu, N. Ozkaya, An Intelligent
130. Automatic Face Model Prediction System,
131. International Conference on Multivariate
132. Statistical Modelling & High Dimensional Data
133. Mining (HDM 2008), 19-23 June 2008, Turkey.
134. N. Ozkaya, S. Sagiroglu, Intelligent Face Mask
135. Prediction System, International Joint Conference
136. on Neural Networks (IJCNN 2008) in IEEE
137. World Congress on Computational Intelligence
138. (WCCI 2008), IEEE Catalog number: CFP08IJSCDR,
139. ISBN: 978-1-4244-1821-3, ISSN: 1098-
140. , Library of Congress: 2007907698, 1-6 June
141. , Hong Kong.
142. N. Ozkaya, S. Sagiroglu, Translating the
143. Fingerprints to the Faces: A New Approach,
144. IEEE 16th Signal Processing, Communication
145. and Applications Conference (SIU 2008), IEEE
146. Catalog number: CFP08559 – CDR, ISBN: 978-
147. -4244-1999-9, Library of Congress:
148. , 20-22 April 2008, Turkey. (In
149. Turkish)
150. S. Sagiroglu, N. Ozkaya, Artificial Neural
151. Network Based Automatic Face Model
152. Generation System from Only One Fingerprint,
153. The Third International Workshop on Artificial
154. Neural Networks in Pattern Recognition
155. (ANNPR), LNAI, 2-4 July 2008, Paris, France.
156. S. Prabhakar and A. K. Jain, Decision-level
157. fusion in fingerprint verification, Pattern
158. Recognition, (2002), 35, no. 4, pp. 861–874.