Age Unconstrained Photo ID Validation Using Contextual Generative Adversarial Networks
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.9, No. 9)Publication Date: 2020-09-30
Authors : Nikhil Singh Rathaur; Shubham;
Page : 22-26
Keywords : Generative Adversarial Networks; Face Verification; Neural Networks; Face Aging; Biometric;
Abstract
We propose a solution to handle this problem. We are extending upon the paper where Contextual Generative Adversarial Networks are used to generate a band of aged images from one single image. The images of different age groups will be generated from one single picture but with the same context. We are using the resulting images for face validation as a photo verification system. Our algorithm will use the band of generated images of different age groups and will match it with the current face of the person. If the match score goes beyond a limit, the photo identity will be validated, or else a warning will be triggered. This system will play an important role in places where there's a need for higher security and better ways of validation.
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Last modified: 2020-09-09 20:24:21