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Comment on the CASIA v1 Iris Dataset

Published

Author(s)

P J. Phillips, K W. Bowyer, P J. Flynn

Abstract

The paper by Ma et al. [1] made a number of contributions to iris recognition including a novel iris recognition algorithm, a benchmark of standard approaches to iris recognition, and the establishment of an iris data set. The data set, Chinese Academy of Science Institute for Automation (CASIA) ver1.0, is available to the iris recognition community and has been widely distributed. Ma et al. [1] provide a detailed description of the data acquisition process for this data set. We note that the CASIA ver1.0 data set has been preprocessed so that pupils have been replaced by a circular region of uniform intensity. Editing of the pupils is not documented in the literature. In addition, we make observations based on the Iris Challenge Evaluation (ICE) 2005 technology development project on reporting results for iris recognition experiments. [1] L. Ma, T. Tan, Y. Wang, and D. Zhang, ¿Personal identification based on iris texture analysis¿, IEEE Trans. Pattern Analysis Machine Intelligence, vol. 25, pp. 1519¿1533, 2003.
Citation
IEEE Transactions on Pattern Analysis and Machine Intelligence

Keywords

Iris recognition, iris, CASIA data set, CASIA data set ver1.0, biometric, biometric experiments

Citation

Phillips, P. , Bowyer, K. and Flynn, P. (2007), Comment on the CASIA v1 Iris Dataset, IEEE Transactions on Pattern Analysis and Machine Intelligence (Accessed April 18, 2024)
Created March 26, 2007, Updated February 19, 2017