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Application of Biometrics in Automotive Industry - Case Study Based on Iris Recognition
Keywords:
Biometrics, iris, security, recognition systems, automotive safety and security, eye tracking.
Abstract:
Biometrics is used for unique identification of individuals. The identification can be done in two ways depending on the input, unique biological features or behavioral characteristics. Iris recognition is a method of biometric identification which is based on pattern recognition techniques. It provides high level of security and reliability, which makes it suitable for application in many areas. This method is intended to be used in one-to- many searching environment with stability as its main characteristics. The iris recognition method is based on high resolution images of the iris. It uses camera and IR illumination in order to eliminate or reduce reflection from the convex cornea and to obtain detailed rich images of very complex structure of the iris. Then, the images are converted into digital templates and stored in the biometric system database for future matching. In some cases, the efficiency of the iris recognition may be disrupted by eyeglasses or contact lenses, which can result in mismatching of the sample and the stored template. This paper deals with the implementation of the iris method in automotive industry in the area of safety and security.
CITATION:
IEEE format
E. Ćatović, S. Adamović, “Application of Biometrics in Automotive Industry - Case Study Based on Iris Recognition,” in Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2017, pp. 44-49. doi:10.15308/Sinteza-2017-44-49
APA format
Ćatović, E., Adamović, S. (2017). Application of Biometrics in Automotive Industry - Case Study Based on Iris Recognition. Paper presented at Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2017-44-49
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