International Journal of Engineering and Management Research (IJEMR)
  • Year: 2017
  • Volume: 7
  • Issue: 2

Identification of Facial Retouching Using Supervised Deep Learning Algorithm

  • Author:
  • V. Menaga, K. Mohanaprakash, G. Kalaiarasi
  • Total Page Count: 4
  • Page Number: 233 to 236

Department of ECE, India

Online published on 31 October, 2017.

Abstract

In the Airport security service, this system is used to restrict the fake and illegal passports is being used for travelling. By using this system we can detect those people who are creating fake passport by providing digitally altered and spoofed facial ID's. By our paper we can easily detect the Facial Retouching, Plastic Surgery, Spoofing, etc.., this processes involves two methods. 1. Supervised Deep Learning 2. Unsupervised Deep Learning. Supervised Deep Learning which only involves scanning of the victims face only. Deep Learning method uses labeled data, which is created by analyzing the individual parts of the input face (i.e. Right Eye, Left Eye, Nose, Mouth). This labeled data is compared with passport photo's labeled data to detect retouching.

Keywords

Deep Learning algorithm, Facial retouching, Plastic Surgery, Spoofing, etc