Publication:
Machine Learning Methods Applied to Biometrics

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URI: https://hdl.handle.net/10016/22862
ISBN: 978-84-608-6309-0
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machine_madalina_nesus_2016.pdf (278.89 KB)
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2016-02
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Abstract
Biometrics is a challenging field which uses physiological and behavioral characteristics of persons in order to establish their identities. Biometrics research requires the fusion of several other fields, fields that are in a continuous development. Among these fields we find image processing, pattern recognition and machine learning. There are many research oportunities in this field, some of the most recent ones being cross-sensor comparisons, liveness detection (in iris recognition), behavioral biometrics and mobile biometrics. My PhD thesis will contribute by applying Machine Learning methods at least for some of the enumerated research oportunities.
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Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016.
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Biometrics, Pattern recognition, Image processing, Machine learning
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Carretero Pérez, Jesús; et.al. (eds.). (2016). Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016). Timisoara, Romania. Universidad Carlos III de Madrid, ARCOS. Pp. 77-78.
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First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016)