Abstract
Biometric systems are becoming important, since they provide more efficient and reliable means to identity verification. In the recent studies, various biometric traits that include iris, face, gait, ear, palm, and knuckle joints have been investigated. Due to the intraclass variation, noisy sensor data, and susceptibility to spoofing attacks, the performance of these biometric systems is inaccurate. Gaze is one of the recent attractive topics in biometric research. In this paper, an attempt has been made to present an insight of different gaze estimation methods.
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Sireesha, M.V., Vijaya, P.A., Chellamma, K. (2013). A Survey on Gaze Estimation Techniques. In: Chakravarthi, V., Shirur, Y., Prasad, R. (eds) Proceedings of International Conference on VLSI, Communication, Advanced Devices, Signals & Systems and Networking (VCASAN-2013). Lecture Notes in Electrical Engineering, vol 258. Springer, India. https://doi.org/10.1007/978-81-322-1524-0_43
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DOI: https://doi.org/10.1007/978-81-322-1524-0_43
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