메뉴 건너뛰기




Volumn , Issue , 2012, Pages 317-322

Robust iris segmentation based on learned boundary detectors

Author keywords

[No Author keywords available]

Indexed keywords

EDGE DETECTION METHODS; EDGE DETECTORS; EDGE INFORMATION; EDGE POINT; IRIS IMAGES; IRIS LOCALIZATION; IRIS SEGMENTATION; IRIS SEGMENTATION METHOD; IRIS TEXTURE; PERSONAL IDENTIFICATION; ROBUST LEAST SQUARES; STRUCTURE INFORMATION; VISUAL FEATURE;

EID: 84866783096     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICB.2012.6199826     Document Type: Conference Paper
Times cited : (30)

References (19)
  • 2
    • 79953048649 scopus 로고    scopus 로고
    • Contour detection and hierarchical image segmentation
    • May
    • P. Arbeláez, M. Maire, C. Fowlkes, and J. Malik. Contour detection and hierarchical image segmentation. IEEE Trans. on PAMI, 33(5):898-916, May 2011.
    • (2011) IEEE Trans. on PAMI , vol.33 , Issue.5 , pp. 898-916
    • Arbeláez, P.1    Maire, M.2    Fowlkes, C.3    Malik, J.4
  • 3
    • 0022808786 scopus 로고
    • A computational approach to edge detection
    • Nov.
    • J. Canny. A computational approach to edge detection. IEEE Trans. on PAMI, 8(6):679-698, Nov. 1986.
    • (1986) IEEE Trans. on PAMI , vol.8 , Issue.6 , pp. 679-698
    • Canny, J.1
  • 4
    • 0027700869 scopus 로고
    • High confidence visual recognition of persons by a test of statistical independence
    • Nov.
    • J. Daugman. High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. on PAMI, 15(11):1148-1161, Nov. 1993.
    • (1993) IEEE Trans. on PAMI , vol.15 , Issue.11 , pp. 1148-1161
    • Daugman, J.1
  • 5
    • 0742290132 scopus 로고    scopus 로고
    • How iris recognition works
    • Jan.
    • J. Daugman. How iris recognition works. IEEE Trans. on CSVT, 14(1):21-30, Jan. 2004.
    • (2004) IEEE Trans. on CSVT , vol.14 , Issue.1 , pp. 21-30
    • Daugman, J.1
  • 6
    • 33845580709 scopus 로고    scopus 로고
    • Supervised learning of edges and object boundaries
    • P. Dollár, Z. Tu, and S. Belongie. Supervised learning of edges and object boundaries. In Proc. of CVPR, volume 2, pages 1964-1971, 2006.
    • (2006) Proc. of CVPR , vol.2 , pp. 1964-1971
    • Dollár, P.1    Tu, Z.2    Belongie, S.3
  • 7
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • J. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: a statistical view of boosting. The Annals of Statistics, 28(2):337-374, 2000.
    • (2000) The Annals of Statistics , vol.28 , Issue.2 , pp. 337-374
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 8
    • 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. on PAMI, 31(9):1670-1684, Sept. 2009.
    • (2009) IEEE Trans. on PAMI , vol.31 , Issue.9 , pp. 1670-1684
    • He, Z.1    Tan, T.2    Sun, Z.3    Qiu, X.4
  • 10
    • 17744406666 scopus 로고    scopus 로고
    • An extended set of haar-like features for rapid object detection
    • R. Lienhart and J. Maydt. An extended set of haar-like features for rapid object detection. In Proc. of ICIP, volume 1, pages 900-903, 2002.
    • (2002) Proc. of ICIP , vol.1 , pp. 900-903
    • Lienhart, R.1    Maydt, J.2
  • 12
    • 69949188453 scopus 로고    scopus 로고
    • Eyelid localization in iris images captured in less constrained environment
    • X. Liu, P. Li, and Q. Song. Eyelid localization in iris images captured in less constrained environment. In Proc. of ICB, pages 1140-1149, 2009.
    • (2009) Proc. of ICB , pp. 1140-1149
    • Liu, X.1    Li, P.2    Song, Q.3
  • 13
  • 14
    • 70450230863 scopus 로고    scopus 로고
    • Iris segmentation using geodesic active contours
    • Dec.
    • S. Shah and A. Ross. Iris segmentation using geodesic active contours. IEEE Trans. on IFS, 4(4):824-836, Dec. 2009.
    • (2009) IEEE Trans. on IFS , vol.4 , Issue.4 , pp. 824-836
    • Shah, S.1    Ross, A.2
  • 15
    • 59549092423 scopus 로고    scopus 로고
    • Classification-based probabilistic modeling of texture transition for fast line search tracking and delineation
    • March
    • A. Shahrokni, T. Drummond, F. Fleuret, and P. Fua. Classification-based probabilistic modeling of texture transition for fast line search tracking and delineation. IEEE Trans. on PAMI, 31(3):570-576, March 2009.
    • (2009) IEEE Trans. on PAMI , vol.31 , Issue.3 , pp. 570-576
    • Shahrokni, A.1    Drummond, T.2    Fleuret, F.3    Fua, P.4
  • 16
    • 79956013668 scopus 로고    scopus 로고
    • Improving iris segmentation performance via borders recognition
    • R. Tang and S. Weng. Improving iris segmentation performance via borders recognition. In Proc. of ICICTA, volume 2, pages 580-583, 2011.
    • (2011) Proc. of ICICTA , vol.2 , pp. 580-583
    • Tang, R.1    Weng, S.2
  • 17
    • 5044224293 scopus 로고    scopus 로고
    • Sharing features: Efficient boosting procedures for multiclass object detection
    • A. Torralba, K. Murphy, and W. Freeman. Sharing features: efficient boosting procedures for multiclass object detection. In Proc. of CVPR, volume 2, pages 762-769, 2004.
    • (2004) Proc. of CVPR , vol.2 , pp. 762-769
    • Torralba, A.1    Murphy, K.2    Freeman, W.3
  • 18
    • 0031236835 scopus 로고    scopus 로고
    • Iris recognition: An emerging biometric technology
    • Sept.
    • R. Wildes. Iris recognition: an emerging biometric technology. Proc. of the IEEE, 85(9):1348-1363, Sept. 1997.
    • (1997) Proc. of the IEEE , vol.85 , Issue.9 , pp. 1348-1363
    • Wildes, R.1
  • 19
    • 78651263379 scopus 로고    scopus 로고
    • Texture removal for adaptive level set based iris segmentation
    • Sept.
    • X. Zhang, Z. Sun, and T. Tan. Texture removal for adaptive level set based iris segmentation. In Proc. of ICIP, pages 1729-1732, Sept. 2010.
    • (2010) Proc. of ICIP , pp. 1729-1732
    • Zhang, X.1    Sun, Z.2    Tan, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.