Human recognition based on retinal images and using new similarity function

Eurasip Journal on Image and Video Processing

Volumn 2013, Issue 1, 2013, Pages

  Dehghani, Amin ^a   Ghassabi, Zeinab ^b   Moghddam, Hamid Abrishami ^c   Moin, Mohammad Shahram ^d  

^a UNIVERSITY OF TEHRAN   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^d Institute for ICT   (Iran)

Author keywords

DRIVE and STARE dataset; Harris corner detector; Human recognition; Retinal image

Indexed keywords

CORRELATION METHODS; EDGE DETECTION; EXTRACTION; EYE MOVEMENTS; OPHTHALMOLOGY;

FEATURE MATCHING; HARRIS CORNER DETECTOR; HUMAN RECOGNITION; PHASE CORRELATION; RECOGNITION ACCURACY; RETINAL IMAGE; ROTATION ANGLES; SIMILARITY FUNCTIONS;

FEATURE EXTRACTION;

EID: 84991287560     PISSN: 16875176     EISSN: 16875281     Source Type: Journal    
DOI: 10.1186/1687-5281-2013-58     Document Type: Article

References (33)

1. A Dehghani, H Abrishami Moghaddam, M-S Moin, Retinal Identification Based on Rotation Invariant Moments, in Proceedings of the 5th International Conference on Bioinformatics and Biomedical Engineering (Wuhan, 2011)
2. ZM Kovacs-Vajna, A fingerprint verification system based on triangular matching and dynamic time warping. IEEE Trans Pattern Anal Mach Intell. 22, 1266–1276 (2000)
3. A Kumar, D Zhang, Hand geometry recognition using entropy-based discretization. IEEE Trans. Inf. Forensics Security. 2(2), 181–187 (2007)
4. G Anbarjafari, Face recognition using color local binary pattern from mutually independent color channels. EURASIP J Image Video Process. 2013, 6 (2013). doi:10.1186/1687-5281-2013-6
5. C-H Lin, J-L Chen, Z-L Gaing, Combining Biometric Fractal Pattern and Particle Swarm Optimization-Based Classifier for Fingerprint Recognition. Math. Probl. Eng. 2010, 1–15 (2010). doi:10.1155/2010/328676
6. F Rossant, B Mikovicova, M Adam, M Trocan, A robust iris identification system based on wavelet packet decomposition and local comparisons of the extracted signatures. EURASIP J Adv Signal Process. 2010, 415307 (2010). doi:10.1155/2010/415307
7. B Nakissa, Shahram Moin M: A new user dependent iris recognition system based on an area preserving pointwise level set segmentation approach. EURASIP J Adv Signal Process. 2009, 980159 (2009). doi:10.1155/2009/980159
8. H Farzin, H Abrishami Moghaddam, M-S Moin, A novel retinal identification system. EURASIP J Adv Signal Process. 2008, 280635 (2008). doi:10.1155/2008/280635
9. AK Jain, A Ross, S Prabhakar, An introduction to biometric recognition. IEEE Trans. Circuits Syst. Video Technol. 14(1), 4–20 (2004)
10. RB Hill, Retinal identification (Biometrics: Personal Identification in Networked Society, Springer, Berlin, 1999), p. 126
11. Retica Systems. http://venturebeatprofiles.com/company/profile/retica-systems
12. Iris recognition. http://en.wikipedia.org/wiki/Iris_recognition
13. Z-W Xu, X-X Guo, X-Y Hu, X Cheng, The blood vessel recognition of ocular fundus, in Proceedings of the 4th International Conference on Machine Learning and Cybernetics (Guangzhou, 2005), pp. 4493–4498
14. M Ortega, MG Penedo, J Rouco, N Barreira, MJ Carreira, Retinal verification using a feature points-based biometric pattern. EURASIP J. Adv. Signal Process. 2009, 1–13 (2009)
15. M Ortega, C Marino, MG Penedo, M Blanco, F Gonzalez, Biometric authentication using digital retinal images, in Proceedings of the 5th WSEAS International Conference on Applied Computer Science (Hangzhou, 2006), pp. 422–427
16. H Tabatabaee, A Milani-Fard, H Jafariani, A Novel Human Identifier System Using Retina Image and Fuzzy Clustering Approach, in Proceedings of the 2nd IEEE International Conference on Information and Communication Technologies (Damascus, 2006), pp. 1031–1036
17. M Shahnazi, M Pahlevanzadeh, M Vafadoost, Wavelet based retinal recognition, in Proceedings of the 9th IEEE International Symposium on Signal Processing and Its Applications (Sharjah, 2007), pp. 1–4
18. H Oinonen, H Forsvik, P Ruusuvuori, O Yli-Harja, V Voipio, H Huttunen, Identity Verification Based on Vessel Matching from Fundus Images, in 17th International Conference on Image Processing (Hong Kong, 2010), pp. 4089–4092
19. V Vijaya Kumari, N Suriyanarayanan, Blood vessel extraction using wiener filter and morphological operation. Int J Comput Sci Emerg Tech. 1(4), 7–10 (2010)
20. HP Moravec, Towards Automatic Visual Obstacle Avoidance, in Proceedings of the Int’l Joint Conf Artificial Intelligence (Cambridge, MA, 1977), p. 584
21. C Harris, M Stephens, A Combined Corner and Edge Detector, in Proceedings of the Alvey Vision Conference (University of Manchester, 1988), pp. 147–151
22. A Noble, Finding corners. Image Vis Comput J. 6(2), 121–128 (1988)
23. F Mokhtarian, R Suomela, Robust image corner detection through curvature scale space. IEEE Trans Pattern Anal Mach Intell. 20(12), 1376–1381 (1998)
24. E Rosten, T Drummond, Machine learning for high-speed corner detection, in Computer vision-ECCV 2006, ed. by A Leonardis, H Bischof, A Pinz (9th European Conference on Computer Vision, Graz, 07–13 May 2006, Lecture Notes in Computer Science, vol. 3951, Springer, Heidelberg, 2006), pp. 430–443
25. J Chen, LH Zou, J Zhang, LH Dou, The comparison and application of corner detection algorithms. J Multimed. 4(6), 435–441 (2009)
26. L Lin, Y Liu, Registration algorithm based on image matching for outdoor AR system with fixed viewing position. IEEE proc., Vis Image Signal Process. 153(1), 57–62 (2006)
27. K Krish, S Heinrich, WE Snyder, H Cakir, S Khorram, A new feature based image registration algorithm, in ASPRS Annual Convention (Portland, OR, 2008)
28. A Dehghani, Abrishami Moghaddam H, Moin M-S: Optic disc localization in retinal images using histogram matching. EURASIP J Image Video Process. 1, 1–11 (2012)
29. A Dehghani, M-S Moin, M Saghafi, Localization of the optic disc center in retinal images based on the Harris corner detector. Biomed. Eng. Lett. 2(3), 198–206 (2012)
30. nd International Conference on Computer, Control and Communication (Karachi, 2009), pp. 1–6
31. S Sukumaran, M Punithavalli, Retina recognition based on fractal dimension. IJCSNS Int J Comput Sci and Netw Secur. 9(10), 66–7 (2009)
32. W Barkhoda, F Akhlaqian Tab, M Deljavan Amiri, Rotation invariant Retina identification based on the sketch of vessels using angular partitioning, in Proceedings of the International Multiconference on Computer Science and Information Technology (Mragowo, 2009), pp. 3–6
33. W Barkhoda, F Akhlaqian, M–D Amiri, M-S Nouroozzadeh, Retina identification based on the pattern of blood vessels using fuzzy logic. EURASIP J Adv Signal Process. 2011, 1–8 (2011