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Mottalli, M.; Mejail, M.; Jacobo-Berlles, J. "Flexible image segmentation and quality assessment for real-time iris recognition" (2009) 2009 IEEE International Conference on Image Processing, ICIP 2009:1941-1944
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Abstract:

The human iris has proved to be one of the most reliable biometric features for the identification of individuals. Real-time iris recognition requires high quality images that provide enough details about the iris texture and algorithms to analyze and process the images at the highest possible speed. In this work, an extension to the classical circular model for the pupil and iris using flexible contours is provided. Then, a method for assessing the quality of the iris images in real-time based on the segmentation results is introduced. Experimental results are presented, and we conclude that the new methods improve the recognition rate, achieving a 100% correct recognition rate on the CASIA iris database, while being suitable for a real-time iris recognition camera system. ©2009 IEEE.

Registro:

Documento: Conferencia
Título:Flexible image segmentation and quality assessment for real-time iris recognition
Autor:Mottalli, M.; Mejail, M.; Jacobo-Berlles, J.
Ciudad:Cairo
Filiación:Departamento de Computación, Universidad de Buenos Aires, Argentina
Palabras clave:Image edge analysis; Image segmentation; Real time systems; Biometrics; Digital image storage; Edge detection; Imaging systems; Interactive computer systems; Real time systems; Biometric features; Camera systems; High quality images; Human Iris; Identification of individuals; Image edge analysis; Iris images; Iris recognition; Iris texture; Quality assessment; Recognition rates; Segmentation results; Image segmentation
Año:2009
Página de inicio:1941
Página de fin:1944
DOI: http://dx.doi.org/10.1109/ICIP.2009.5414530
Título revista:2009 IEEE International Conference on Image Processing, ICIP 2009
Título revista abreviado:Proc. Int. Conf. Image Process. ICIP
ISSN:15224880
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15224880_v_n_p1941_Mottalli

Referencias:

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  • Arvacheh, E., Tizoosh, H., Iris segmentation: Detecting pupil, limbus and eyelids (2006) IEEE International Conference on Image Processing, pp. 2453-2456. , October
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  • He, Y., Cui, Y., Tan, T., Wang, Y., Key techniques and methods for imaging iris in focus The 18th International Conference on Pattern Recognition (ICPR'06), 2006, , number 0-7695-2521-0
  • Kang, B.J., Park, K.R., Real-time image restoration for iris recognition systems (2007) IEEE Transactions on Systems, Man and Cybernetics, 37 (6), pp. 1555-1566. , December
  • Lee, P.S., Ewe, H.T., Individual Recognition Based on Human Iris Using Fractal Dimension Approach (2004) LECTURE NOTES in COMPUTER SCIENCE, (3072), pp. 467-474. , Biometric Authentication
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Citas:

---------- APA ----------
Mottalli, M., Mejail, M. & Jacobo-Berlles, J. (2009) . Flexible image segmentation and quality assessment for real-time iris recognition. 2009 IEEE International Conference on Image Processing, ICIP 2009, 1941-1944.
http://dx.doi.org/10.1109/ICIP.2009.5414530
---------- CHICAGO ----------
Mottalli, M., Mejail, M., Jacobo-Berlles, J. "Flexible image segmentation and quality assessment for real-time iris recognition" . 2009 IEEE International Conference on Image Processing, ICIP 2009 (2009) : 1941-1944.
http://dx.doi.org/10.1109/ICIP.2009.5414530
---------- MLA ----------
Mottalli, M., Mejail, M., Jacobo-Berlles, J. "Flexible image segmentation and quality assessment for real-time iris recognition" . 2009 IEEE International Conference on Image Processing, ICIP 2009, 2009, pp. 1941-1944.
http://dx.doi.org/10.1109/ICIP.2009.5414530
---------- VANCOUVER ----------
Mottalli, M., Mejail, M., Jacobo-Berlles, J. Flexible image segmentation and quality assessment for real-time iris recognition. Proc. Int. Conf. Image Process. ICIP. 2009:1941-1944.
http://dx.doi.org/10.1109/ICIP.2009.5414530