Novel Technique for Face Spoof Detection in Image Processing

Mayank Kumar Yadav, Kunal Gupta · 2018

In order to classify the spoofed as well as non-spoofed faces from images, the face spoof detection technique has been proposed. In order to analyze the textual features present within a test image, the DWT algorithm is applied. In order to classify the spoofed and non-spoofed features, the already existing approach used SVM classifier. However, the accuracy of results needs to be enhanced in the proposed work in order to identify the spoofed faces. In order to analyze the proposed approach, comparisons are made amongst the proposed and existing mechanisms in terms of accuracy and execution time.

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