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3D-DWT and CNN Based Face Recognition with Feature Extraction Using Depth Information and Contour Map

  • Chanchal Mahadev Patil
  • Sachin D. RuikarEmail author
Conference paper

Abstract

This paper presents a method for face recognition with a combination of skin colour information and depth approach with high security and accuracy for authentication of users. It presents an algorithm for the detection and recognition of the face. For getting higher accuracy in face detection various methods are used, such as template matching method, haar cascade feature, AdaBoost algorithm. To identify real or fake (picture) face depth value determined from the depth map is used. 3D-DWT is used to extract features from the depthmap. Extracted features are used to train the convoluted neural network (CNN).

Keywords

Adaboost algorithm Haar features Depth map 3D-DWT CNN 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Walchand College of EngineeringSangliIndia

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