A symmetry perceiving adaptive neural network and facial image recognition

Forensic Science International

Volumn 98, Issue 1-2, 1998, Pages 67-89

  Sinha, P ^a  

^a State Forensic Science Laboratory   (India)

Author keywords

Artificial intelligence; Face photograph; Face recognition; Fuzzy system; Image processing; Neural network; Personal identification; Superimposition; Symmetry group

Indexed keywords

ARTIFICIAL NEURAL NETWORK; FACIES; FORENSIC IDENTIFICATION; HUMAN; IMAGE ANALYSIS; PRIORITY JOURNAL; SHORT SURVEY; TECHNIQUE;

EID: 0032583219     PISSN: 03790738     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0379-0738(98)00137-6     Document Type: Article

References (21)

1. [1] M.Y. Iscan, Introduction to techniques for photographic comparison: potentials and problems, in: M.Y. Iscan, R.P. Helmer (Eds.), Forensic Analysis of the Skull, Wiley-Liss, 1993, pp. 57-70.
2. [2] R. Chellappa, C.L. Wilson, S. Sirohey, Human and machine recognition of faces: a survey, Proc. IEEE 83 (1995) 705-740.
3. [3] M.A. Turk, A.P. Pentland, Face recognition using eigenfaces, Proc. Int. Conf. on Patt. Recog. (1991) 536-591.
4. [4] A. Pentland, B. Moghaddam, T. Starner, M. Turk, View based and modular eigenspaces for face recognition, Proc. IEEE Computer Soc. Conf. on Computer vision and Patt. Recog. (1994) 84-91.
5. [5] B.S. Manjunath, P. Chellappa, C.V.D. Malsburg, A feature based approach to face recognition, Proc. IEEE. Computer Soc. Conf. on Computer vision and Patt. Recog. (1992) 373-378.
6. [6] G.J. Kaufman Jr., K.J. Breeding, The automatic recognition of human faces from profile silhouettes, IEEE Trans, Syst. Man. and Cybern. vol. SMC-6 (1976) 113-121.
7. [7] T. Kohonen, Self Organisation and Associative Memory, Springer, Berlin, 1988.
8. [8] T.B. Stonham, Practical face recognition and verification with WISARD, in: H.D. Ellis, M.A. Jeeves, F. Newcombe, A. Young (Eds.), Aspects of Face Processing, Nijhoff, Dordrecht, 1981, pp. 426-441.
9. [9] T. Majumdar, P. Sinha, Photographs of the human face and broken projective symmetry, J. Forens. Sci. Soc. 29 (1989) 381-395.
10. [10] P. Sinha, Recognition of changed facial appearance with the aid of a facial image recognition system, Police Research and Development (BPR&D, Ministry of Home Affairs, Govt. of India). Jan-Mar (1995) 37-41.
11. [11] P. Sinha, Symmetry sensing through computer vision and a facial image recognition system, Forens. Sci. Int. 77 (1996) 27-36.
12. [12] R. Lenz, Group theoretical methods in image processing, in: G. Goos, H. Hartnanis (Eds.), Lecture notes in Computer Science 413, Springer-Verlag, 1987.
13. [13] W. Pitts, W.S. McCulloch, How we know Universals: the perception of auditory and visual forms, Bull. Math. Biophys. 9 (1917) 127-147.
14. [14] H. Schade, Vaterschaftsbegutachtung, E. Schweizerbart's che Verlagsbuchhandlung, Stuttgart, 1954.
15. [15] R. Martin, K. SaIler, Lehrbuch der Anthropologic, I and II, Gustav Fischer Verlag, Stuttgart, 1957.
16. [16] W.M. Krogman, M.V. Iscan, The Human Skeleton in Forensic Medicine, C. Thomas, Springfield IL, 1966.
17. [17] P.J. Benneth, Facial identification techniques, in: Speakers Notes 9532, The British Council International Seminars on Advancing the Scientific Investigation of Crime, Durham, July, 1995.
18. [18] T. Catterick, Facial measurements as an aid to recognition, Forens. Sci. Int. 56 (1992) 23-27.
19. [19] M.S. Kamel, H.C. Shen, A.K.C. Wong, T.M. Hong, R.I. Compeanu, Face recognition using perspective invariant features, Pattern Recog. Lett. 15 (1994) 877-883.
20. [20] P. Sinha, Photographs of flat impressions and their projective symmetry, J. Forens. Sci. Soc. 28 (1988) 79-86.
21. [21] F. Rosenblatt, Principles of Neurodynamics, Spartan Books, Washington DC, 1962.