Abstract
In all modern society the increase in alcohol consumption has caused many problems and the potential harmful effects of alcohol on human health are known. There are some ways to identify alcohol in a person, but they are invasive and embarrassing for people. This work proposes a new non-invasive and simple test to detect use of alcohol through of pupillary reflex analysis. The initial results present rates near 85% in the correct identification using algorithms for pattern recognition, demonstrating the efficacy of the test method.
Keywords
- Pupillometer
- Blood alcohol
- Iris
- Alcohol
R. M. da Costa—The author thanks FAPEG and CNPQ for providing support for the development of this research.
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Pinheiro, H.M. et al. (2015). A New Approach to Detect Use of Alcohol Through Iris Videos Using Computer Vision. In: Murino, V., Puppo, E. (eds) Image Analysis and Processing — ICIAP 2015. ICIAP 2015. Lecture Notes in Computer Science(), vol 9280. Springer, Cham. https://doi.org/10.1007/978-3-319-23234-8_55
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DOI: https://doi.org/10.1007/978-3-319-23234-8_55
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