Journal of Cardiovascular Disease Research
DETECTION OF IMAGE FORGERY USING DEEP LEARNING THROUGH CONVOLUTIONAL NEURAL NETWORKS
B. Aruna Sri, B. Kritika, M. Harini, Nusrat Begum, N. Sree Sai Harshitha
JCDR. 2023: 394-406
Abstract
Now-a-days biometric systems are useful in recognizing person’s identity but criminals change their appearance in behaviour and psychological to deceive recognition system. To overcome from this problem we are using new technique called Deep Texture Features extraction from images and then building train machine learning model using CNN (Convolution Neural Networks) algorithm. This technique refer as LBPNet or NLBPNet as this technique heavily dependent on features extraction using LBP (Local Binary Pattern) algorithm.
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