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The Journal of Supercomputing

Erschienen in:

13.06.2018

Effectiveness evaluation of iris segmentation by using geodesic active contour (GAC)

verfasst von: Yuan-Tsung Chang, Timothy K. Shih, Yung-Hui Li, W. G. C. W. Kumara

Erschienen in: The Journal of Supercomputing | Ausgabe 3/2020

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Abstract

A novel iris segmentation technique based on active contour is proposed in this paper. Our approach uses innovative algorithms, including two important ones, pupil segmentation and iris circle calculation. With our algorithms, we are able to find the center position and radius of pupil correctly and segment the iris precisely. The accuracy of our proposed method for ICE dataset is around 92% and also reached high accuracy level of 79% for UBIRIS. Our results demonstrate that the proposed iris segmentation method can perform well with high accuracy and better efficacy for Iris segmentation in images. Through a relatively high-performance algorithm to further cut up the round out the picture of the pupil conversion cutting growth square picture in order to make the judgment for biometric applications.

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Ratha NK, Connell JH, Pankanti S (2015) Big data approach to biometric-based identity analytics. IBM J Res Dev 59(2/3):4:1–4:11CrossRef

Liu C, Petroski B, Cordone G, Torres G, Schuckers S (2015) Iris matching algorithm on many-core platforms. In: 2015 IEEE International Symposium on Technologies for Homeland Security (HST), pp 1–6

Fernández A, Gómez Á, Lecumberry F, Pardo Á, Ramírez I (2015) Pattern recognition in Latin America in the ‘big data’ era. Pattern Recognit 48(4):1185–1196CrossRef

Guo J-M, Hsia C-H, Liu Y-F, Yu J-C, Chu M-H, Le T-N (2012) Contact-free hand geometry-based identification system. Expert Syst Appl 39(14):11728–11736CrossRef

Hsia CH, Dai YJ, Chen SL, Lin TL, Shen J (2018) A gait sequence analysis for IP camera using a modified LBP. J Internet Technol 19:451–458

Hsia C-H (2018) New verification method for finger-vein recognition system. IEEE Sens J 18(2):790–797CrossRef

Guo J-M, Liu Y-F, Hsia C-H, Su S-Y, Lee H (2014) Sample space dimensionality refinement for symmetrical object detection. IEEE Trans Inf Forensics Secur 9(11):1953–1961CrossRef

Hung JCS, Chiang KH, Huang YH, Lin KC (2017) Augmenting teacher–student interaction in digital learning through affective computing. Multimed Tools Appl 76(18):18361–18386CrossRef

Lee MF, Chen GS, Hung JC, Lin KC, Wang JC (2016) Data mining in emotion color with affective computing. Multimed Tools Appl 75(23):15185–15198CrossRef

10.

Proena H, Alexandre LA (2005) UBIRIS: a noisy iris image database. In: Proceedings International Conference Image Analysis Processing (ICIAP), 2005. vol 1, pp 970–977 [Online]. Available: http://iris.di.ubi.pt

11.

The ICE Iris Image Database. Available: https://www.nist.gov/programs-projects/iris-challenge-evaluation-ice

12.

Caselles V, Kimmel R, Sapiro G (1997) Geodesic active contours. Int J Comput Vis Dev 22(1):61–79CrossRef

13.

Shah S, Ross A (2009) Iris segmentation using geodesic active contours. IEEE Trans Inf Forensics Secur 4(4):824–836CrossRef

14.

Ma L, Tan T, Wang Y, Zhang D (2004) Efficient iris recognition by characterizing key local variations. IEEE Trans Image Process 13(6):739–750CrossRef

15.

Xu Z, Shi P (2006) A robust and accurate method for pupil features extra. In: 18th International Conference on Pattern Recognition, 2006. ICPR 2006. vol 1, pp 437–440

16.

Zuo J, Kalka ND, Schmid NA (2006) A robust iris segmentation procedure for unconstrained subject presentation. In: 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference, pp 1–6

17.

Chouhan B, Shukla S (2011) Comparative analysis of robust iris recognition system using log gabor wavelet and Laplacian of Gaussian filter. Int J Comput Sci Commun IJCSC 2(1):239–242

18.

Ross A, Shah S (2006) Segmenting non-ideal irises using geodesic active contours. In: 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference, pp 1–6

19.

Proença H, Alexandre LA (2006) Iris segmentation methodology for non-cooperative recognition. IEEE Proc Vis Image Signal Process 153:199–205CrossRef

20.

Mohammadi Arvacheh E (2006) A study of segmentation and normalization for iris recognition systems

21.

Jarjes AA, Wang K, Mohammed GJ (2010) Iris localization: detecting accurate pupil contour and localizing limbus boundary. In: 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR), vol 1, pp 349–352

22.

Proenca H (2010) Iris recognition: on the segmentation of degraded images acquired in the visible wavelength. IEEE Trans Pattern Anal Mach Intell 32(8):1502–1516CrossRef

23.

Subban R, Susitha N, Mankame DP (2017) Efficient iris recognition using Haralick features based extraction and fuzzy particle swarm optimization. Cluster Comput 2017:1–12

24.

Donida Labati R, Genovese A, Muñoz E, Piuri V, Scotti F, Sforza G (2016) Computational intelligence for biometric applications: a survey. Int J Comput 15(1):42–53

25.

Roy DA, Soni US (2016) Analysis of iris segmentation using circular Hough transform and Daughman’s method. i-manager’s J Image Process 3(1):29CrossRef

26.

Pune (2016) An amalgamated strategy for iris recognition employing neural network and hamming distance. In: Advances in intelligent systems and computing, vol. 434. Springer

27.

Jain Y (2017) A comparative analysis of iris and palm print based unimodal and multimodal biometric systems. In: Innovations in computer science and engineering, pp 297–306

Titel: Effectiveness evaluation of iris segmentation by using geodesic active contour (GAC)
verfasst von: Yuan-Tsung Chang
Timothy K. Shih
Yung-Hui Li
W. G. C. W. Kumara
Publikationsdatum: 13.06.2018
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 3/2020
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-018-2450-2

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