Feature Characterization in Iris Recognition with Stochastic Autoregressive Models
Iris recognition is a reliable technique for identification of people. A typical iris recognition system is composed of four phases: image acquisition and preprocessing, iris localization and extraction, iris features characterization, and comparison and matching. We are introducing stoch- astic autoregressive with exogenous inputs models for the features characterization step. Every model is learned from data. In the comparison and matching step, data taken from iris sample are substituted into every model and residuals are generated. A decision is taken based on a threshold calculated experimentally. A successful rate of identifications for UBIRIS and MILES databases shows potential applications.
KeywordsIris Image Biometric System Iris Recognition Iris Sample Iris Localization
Unable to display preview. Download preview PDF.
- 1.Chen, C., Chu, C.: Low Complexity iris Recognition Based on Wavelet Probabilistic Neural Networks. In: Proc. of the Int. Joint Conf. on Neural Networks, vol. 3, pp. 1930–1935 (2005)Google Scholar
- 3.Dobes, M., Machala, L., Tichasvky, P., Pospisil, J.: Human Eye Iris Recognition Using The Mutual Information. Optik (9), 399–404 (2004)Google Scholar
- 4.Franklin, G., Powell, J., Workman, M.: Digital Control of Dynamic Systems, 3rd edn. Addison-Wesley, Reading (1997)Google Scholar
- 6.Garza Castañon, L.E., Montes de Oca, S., Morales-Menéndez, R.: An Application of Random and Hammersley Sampling Methods to Iris Recognition. In: To appear in the 19th Int. Conf. on Industrial, Engineering & Other Applications of Applied Intelligent SystemsOptics and Lasers in Eng., Annecy, Fr (June 2006)Google Scholar
- 7.Huang, J., Wang, Y., Tan, T., Cui, J.: A New Iris Segmentation Method for Iris Recognition System. In: Proc. of the 17th Int Conf on Pattern Recognition, pp. 554–557 (2004)Google Scholar
- 8.Independent Testing of Iris Recognition Technology Final Report, International Biometric Group (May 2005)Google Scholar
- 11.Miles Research. Sample iris Pictures, http://www.milesresearch.com/
- 13.Proenca, H., Alexandre, L.: UBIRIS: A Noisy Iris Image Database. In: Proc of the Int. Conf. on Image Analysis and Processing, vol. 1, pp. 970–977 (2005)Google Scholar