Abstract
Facial biometrics continues to be the preferred biometric bench-mark even though other human body signatures are also used. But there are many problems with face recognition. A slight change in the image, which may be due to illumination, or to the environment, can drastically affect the results and accuracy. These changes may not even be noticeable to the human eye, but can affect the face recognition process. There are some advantages, such as contactless, easy to use and, keeping in mind the current situation, reduces the risk of getting infected by touching buttons or by simply waiting in the queue for a long time. In this paper, an effort is made to review different kinds of face recognition methods comprehensively. PCA, LDA, SVM, and various hybrid techniques are used for the face recognition approach. This review examines all of the aforementioned techniques as well as various parameters that pose challenges to face recognition, such as illumination, pose variations, and facial expression.
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I would like to thank to my teachers and Friends who helped me in completing this project. I would like to specially thanks to My Guide (Ms. Jaspreet Kaur) whose efforts, guidance and direction gives me a motivation to complete this manuscript.
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Rana, W., Pandey, R., Kaur, J. (2022). Face Recognition in Different Light Conditions. In: Smys, S., Balas, V.E., Palanisamy, R. (eds) Inventive Computation and Information Technologies. Lecture Notes in Networks and Systems, vol 336. Springer, Singapore. https://doi.org/10.1007/978-981-16-6723-7_62
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DOI: https://doi.org/10.1007/978-981-16-6723-7_62
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