Abstract
In last few years, face recognition system is using very large scale on identifying the user. It is an application to perform large number of machine-based visual task and accident avoiding system used by 3D models like appearance from the different angles using edge detections. In this paper, a technique is used to reduce the computational cost and increase the accuracy of the facial recognition system by integrating it with the iris recognition. Iris and face images are manipulated by used Open CV and Python tool. This algorithm will compare all the histograms and produce best label and confidence which gives a better face recognition.
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Srivastava, S.K., Katiyar, S., Kumar, S. (2022). Pattern Matching Using Face Recognition System. In: Sharma, T.K., Ahn, C.W., Verma, O.P., Panigrahi, B.K. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-1740-9_15
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DOI: https://doi.org/10.1007/978-981-16-1740-9_15
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