메뉴 건너뛰기




Volumn , Issue , 2012, Pages 283-290

Weighted adaptive Hough and ellipsopolar transforms for real-time iris segmentation

Author keywords

[No Author keywords available]

Indexed keywords

CENTER DETECTION; DATA SETS; GAUSSIANS; GROWING DEMAND; HUMAN EYE; IRIS BIOMETRICS; IRIS IMAGES; IRIS SEGMENTATION; IRIS TEXTURE; MULTIPLE RESOLUTIONS; NEAR INFRARED; POLAR COORDINATE; POLAR TRANSFORM; PRIOR KNOWLEDGE; REFERENCE SOFTWARE; ROBUST SEGMENTATION; SEARCH SPACES; TWO-STAGE ALGORITHM; WEIGHTING FUNCTIONS;

EID: 84866793528     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICB.2012.6199821     Document Type: Conference Paper
Times cited : (125)

References (17)
  • 1
    • 33747654545 scopus 로고    scopus 로고
    • Active shape models for effective iris segmentation
    • A. Abhyankar and S. Schuckers. Active shape models for effective iris segmentation. In Proc. of SPIE, 2006.
    • (2006) Proc. of SPIE
    • Abhyankar, A.1    Schuckers, S.2
  • 3
    • 34848814422 scopus 로고    scopus 로고
    • Optimization of an hough transform algorithm for the search of a center
    • J. Cauchie, V. Fiolet, and D. Villers. Optimization of an hough transform algorithm for the search of a center. Pattern Recognition, 41(2):567-574, 2008.
    • (2008) Pattern Recognition , vol.41 , Issue.2 , pp. 567-574
    • Cauchie, J.1    Fiolet, V.2    Villers, D.3
  • 4
    • 70449644503 scopus 로고    scopus 로고
    • A highly accurate and computationally efficient approach for unconstrained iris segmentation
    • Y. Chen, M. Adjouadi, C. Han, J. Wang, A. Barreto, N. Rishe, and J. Andrian. A highly accurate and computationally efficient approach for unconstrained iris segmentation. Image Vision Computing, 28:261-269, 2010.
    • (2010) Image Vision Computing , vol.28 , pp. 261-269
    • Chen, Y.1    Adjouadi, M.2    Han, C.3    Wang, J.4    Barreto, A.5    Rishe, N.6    Andrian, J.7
  • 7
    • 67651002245 scopus 로고    scopus 로고
    • Toward accurate and fast iris segmentation for iris biometrics
    • sept.
    • Z. He, T. Tan, Z. Sun, and X. Qiu. Toward accurate and fast iris segmentation for iris biometrics. IEEE Trans. Pattern Anal. Mach. Intell., 31(9):1670-1684, sept. 2009.
    • (2009) IEEE Trans. Pattern Anal. Mach. Intell. , vol.31 , Issue.9 , pp. 1670-1684
    • He, Z.1    Tan, T.2    Sun, Z.3    Qiu, X.4
  • 8
    • 71749108743 scopus 로고    scopus 로고
    • Agent-based image iris segmentation and multipleviews boundary refining
    • Piscataway, NJ, USA. IEEE Press
    • R. D. Labati, V. Piuri, and F. Scotti. Agent-based image iris segmentation and multipleviews boundary refining. In Proc. 3rd Int'l Conf. on Biometrics: Theory, App. and Syst., pages 204-210, Piscataway, NJ, USA, 2009. IEEE Press.
    • (2009) Proc. 3rd Int'l Conf. on Biometrics: Theory, App. and Syst. , pp. 204-210
    • Labati, R.D.1    Piuri, V.2    Scotti, F.3
  • 9
    • 70449723216 scopus 로고    scopus 로고
    • Robust iris segmentation on uncalibrated noisy images using mathematical morphology
    • M. A. Luengo-Oroz, E. Faure, and J. Angulo. Robust iris segmentation on uncalibrated noisy images using mathematical morphology. Image Vision Computing, 28:278-284, 2010.
    • (2010) Image Vision Computing , vol.28 , pp. 278-284
    • Luengo-Oroz, M.A.1    Faure, E.2    Angulo, J.3
  • 10
    • 2942628075 scopus 로고    scopus 로고
    • Efficient iris recognition by characterizing key local variations
    • L. Ma, T. Tan, Y. Wang, and D. Zhang. Efficient iris recognition by characterizing key local variations. IEEE Trans. Image Proc., 13(6):739-750, 2004.
    • (2004) IEEE Trans. Image Proc. , vol.13 , Issue.6 , pp. 739-750
    • Ma, L.1    Tan, T.2    Wang, Y.3    Zhang, D.4
  • 11
    • 77953810940 scopus 로고    scopus 로고
    • Iris recognition: On the segmentation of degraded images acquired in the visible wavelength
    • H. Proença. Iris recognition: On the segmentation of degraded images acquired in the visible wavelength. IEEE Trans. Pattern Anal. Mach. Intell., 32(8):1502-1516, 2010.
    • (2010) IEEE Trans. Pattern Anal. Mach. Intell. , vol.32 , Issue.8 , pp. 1502-1516
    • Proença, H.1
  • 12
    • 70449523666 scopus 로고    scopus 로고
    • Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage
    • H. Proença and L. A. Alexandre. Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage. Image and Vision Computing, 28(1):202-206, 2010.
    • (2010) Image and Vision Computing , vol.28 , Issue.1 , pp. 202-206
    • Proença, H.1    Alexandre, L.A.2
  • 13
    • 78650339305 scopus 로고    scopus 로고
    • Incremental iris recognition: A single-algorithm serial fusion strategy to optimize time complexity
    • C. Rathgeb, A. Uhl, and P. Wild. Incremental iris recognition: A single-algorithm serial fusion strategy to optimize time complexity. In Proc. 4th Intl. Conf. on Biometrics: Theory, App. and Syst., pages 1-6, 2010.
    • (2010) Proc. 4th Intl. Conf. on Biometrics: Theory, App. and Syst. , pp. 1-6
    • Rathgeb, C.1    Uhl, A.2    Wild, P.3
  • 14
    • 10844274765 scopus 로고    scopus 로고
    • Realization of the contrast limited adaptive histogram equalization (clahe) for real-time image enhancement
    • A. M. Reza. Realization of the contrast limited adaptive histogram equalization (clahe) for real-time image enhancement. J. VLSI Signal Process. Syst., 38(1):35-44, 2004.
    • (2004) J. VLSI Signal Process. Syst. , vol.38 , Issue.1 , pp. 35-44
    • Reza, A.M.1
  • 16
    • 0031236835 scopus 로고    scopus 로고
    • Iris recognition: An emerging biometric technology
    • R. P. Wildes. Iris recognition: an emerging biometric technology. In Proc. of the IEEE, volume 85, pages 1348-1363, 1997.
    • (1997) Proc. of the IEEE , vol.85 , pp. 1348-1363
    • Wildes, R.P.1
  • 17
    • 50249121990 scopus 로고    scopus 로고
    • A robust iris segmentation procedure for unconstrained subject presentation
    • J. Zuo, N. Kalka, and N. Schmid. A robust iris segmentation procedure for unconstrained subject presentation. In Proc. Biometric Consortium Conf., pages 1-6, 2006.
    • (2006) Proc. Biometric Consortium Conf. , pp. 1-6
    • Zuo, J.1    Kalka, N.2    Schmid, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.