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Iris recognition has been increasingly used with very satisfactory results. Presently, the challenge consists in unconstraining the image capturing conditions and enable its application to domains where the subjects' cooperation is not expectable (e.g., criminal/terrorist seek, missing children). In this type of use, due to variations in the image capturing(More)
Iris recognition has been used for several purposes. However, current iris recognition systems are unable to deal with noisy data and substantially increase their error rates, specially the false rejections, in these conditions. Several proposals have been made to access image quality and to identify noisy regions in iris images. In this paper we propose a(More)
Nowadays, face detection techniques assume growing relevance in a wide range of applications (e.g., biometrics and automatic surveillance)and constitute a pre-requisite of many image processing stages. Among a large number of published approaches, one of the most relevant is the method proposed by Viola and Jones to perform real-time face detection through(More)
Continuous efforts have been made in searching for robust and effective iris coding methods, since Daugman's pioneering work on iris recognition was published. However, due to lack of robustness, the error rates of iris recognition systems significantly increase when images contain large portions of noise (reflections and iris obstructions), resultant from(More)
In recent years, there has been enormous research interest in natural resources monitoring. So, there is a need to develop easily accessible, cheap and reliable information systems for monitoring and early warning, which could be used in most natural resources. This paper presents an ongoing information system development that aims the monitoring and(More)
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