Abstract
Tagging friends and acquaintances is quite popular in modern scenarios. The paper models the concept of triplet loss generator function based on anchor, positive, and negative images for face detection, recognition and tagging on the color FERET dataset. The designed neural network will output 128 face encodings for a given person’s image and then these encodings are compared against each other to achieve face recognition. Once recognized, name tags appear over the faces present in the picture so as to utilize this name functionality to tag them. The experimental results show that the proposed method performs better in terms of tagging as well as recognition in small duration of time.
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Kumari, S., Pandey, P., Deshmukh, M. (2020). Face Tagging and Recognition Using Inception Network and Triplet Loss Generator Function. In: Bansal, J., Gupta, M., Sharma, H., Agarwal, B. (eds) Communication and Intelligent Systems. ICCIS 2019. Lecture Notes in Networks and Systems, vol 120. Springer, Singapore. https://doi.org/10.1007/978-981-15-3325-9_13
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DOI: https://doi.org/10.1007/978-981-15-3325-9_13
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