Artículo

Mottalli, M.; Tepper, M.; Mejail, M. "A contrario detection of false matches in iris recognition" (2010) 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010. 6419 LNCS:442-449
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Abstract:

The pattern of the human iris contains rich information which provides one of the most accurate methods for recognition of individuals. Identification through iris recognition is achieved by matching a biometric template generated from the texture of the iris against an existing database of templates. This relies on the assumption that the probability of two different iris generating similar templates is very low. This assumption opens a question: how can one be sure that two iris templates are similar because they were generated from the same iris and not because of some other random factor? In this paper we introduce a novel technique for iris matching based on the a contrario framework, where two iris templates are decided to belong to the same iris according to the unlikelyness of the similarity between them. This method provides an intuitive detection thresholding technique, based on the probability of occurence of the distance between two templates. We perform tests on different iris databases captured in heterogeneous environments and we show that the proposed identification method is more robust than the standard method based on the Hamming distance. © 2010 Springer-Verlag.

Registro:

Documento: Artículo
Título:A contrario detection of false matches in iris recognition
Autor:Mottalli, M.; Tepper, M.; Mejail, M.
Ciudad:Sao Paulo
Filiación:Departamento de Computación, Universidad de Buenos Aires, Argentina
Palabras clave:Belong to; Biometric template; False matches; Heterogeneous environments; Human Iris; Identification method; Iris recognition; Iris template; Novel techniques; Random factors; Standard method; Thresholding techniques; Biometric template; False matches; Heterogeneous environments; Identification method; Iris recognition; Novel techniques; Random factors; Thresholding techniques; Biometrics; Computer vision; Hamming distance; Biometrics; Hamming distance; Template matching; Image matching; Pattern recognition
Año:2010
Volumen:6419 LNCS
Página de inicio:442
Página de fin:449
DOI: http://dx.doi.org/10.1007/978-3-642-16687-7_59
Título revista:15th Iberoamerican Congress on Pattern Recognition, CIARP 2010
Título revista abreviado:Lect. Notes Comput. Sci.
ISSN:03029743
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v6419LNCS_n_p442_Mottalli

Referencias:

  • Smart Sensors Iris Database, , http://www.irisbase.com/
  • Bowyer, K., Hollingsworth, H., Flynn, P., Image understanding for iris biometrics: A survey (2007) Computer Vision and Image Understanding, 110, pp. 281-307
  • Cao, F., Lisani, J.L., Morel, J.M., Musé, P., Sur, F., (2008) A Theory of Shape Identification, 1948. , Springer, Heidelberg
  • Daugman, J., High confidence visual recognition of persons by a test of statistical independence (1993) IEEE Transactions on Pattern Analysis and Machine Intelligence, 15 (11), pp. 1148-1161
  • Gentile, J.E., Ratha, N., Connell, J., Slic: Short-length iris codes (2009) IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems, BTAS 2009, pp. 1-5. , September
  • Hollingsworth, K., Bowyer, K., Flynn, P., The best bits in an iris code (2009) IEEE Transactions on Pattern Analysis and Machine Intelligence, 31, pp. 1-10
  • Hollingsworth, K., Peters, T., Bowyer, K., Flynn, P., Iris recognition using signal-level fusion of frames from video (2009) IEEE Transactions on Information Forensics and Security, 4 (4), pp. 837-848
  • Mottalli, M., Mejail, M., Jacobo-Berlles, J., Flexible image segmentation and quality assessment for real-time iris recognition (2009) 16th IEEE International Conference on Image Processing (ICIP), pp. 1941-1944. , November
  • Proena, H., Alexandre, L., Toward non-cooperative iris recognition: A classification approach using multiple signatures (2007) IEEE Transactions on Pattern Analysis and Machine Intelligence, 29 (4), pp. 607-612

Citas:

---------- APA ----------
Mottalli, M., Tepper, M. & Mejail, M. (2010) . A contrario detection of false matches in iris recognition. 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010, 6419 LNCS, 442-449.
http://dx.doi.org/10.1007/978-3-642-16687-7_59
---------- CHICAGO ----------
Mottalli, M., Tepper, M., Mejail, M. "A contrario detection of false matches in iris recognition" . 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010 6419 LNCS (2010) : 442-449.
http://dx.doi.org/10.1007/978-3-642-16687-7_59
---------- MLA ----------
Mottalli, M., Tepper, M., Mejail, M. "A contrario detection of false matches in iris recognition" . 15th Iberoamerican Congress on Pattern Recognition, CIARP 2010, vol. 6419 LNCS, 2010, pp. 442-449.
http://dx.doi.org/10.1007/978-3-642-16687-7_59
---------- VANCOUVER ----------
Mottalli, M., Tepper, M., Mejail, M. A contrario detection of false matches in iris recognition. Lect. Notes Comput. Sci. 2010;6419 LNCS:442-449.
http://dx.doi.org/10.1007/978-3-642-16687-7_59