Performance Evaluation of MobileNetV2 CNN Architecture in Localized Datasets
Shem L. Gonzales,
Rosemarie C. Arcaya
Abstract:Facial features of humans are part of physiological characteristics that are the basis for identity verification. Face Recognition technology has expanded into a more thorough process to increase the accuracy rate in recognizing individuals. This paper assessed the performance of face recognition in Deep Convolutional Neural Networks with the application of localized datasets. Five (5) people were used as a class, with thirty (30) images per person. A total of 150 images were gathered from photo albums and col… Show more
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