Dynamic Image Forensics and Forgery Analytics using Open Computer Vision Framework

Abstract

The key advances in Computer Vision and Optical Image Processing are the emerging technologies nowadays in diverse fields including Facial Recognition, Biometric Verifications, Internet of Things (IoT), Criminal Investigation, Signature Identification in banking and several others. Thus, these applications use image and live video processing for facilitating different applications for analyzing and forecasting." Computer vision is used in tons of activities such as monitoring, face recognition, motion recognition, object detection, among many others. The development of social networking platforms such as Facebook and Instagram led to an increase in the volume of image data that was being generated. Use of image and video processing software is a major concern for Facebook because the photos and videos that people post to the social network are doctored images. These kind of images are frequently cited as fake and used in malevolent ways such as motivating violence and death. You need to authenticate the questionable images before take action. It is very hard to ensure photo authenticity due to the power of photo manipulations. Image formation can be determined by image forensic techniques. The technique of image duplication is used to conceal missing areas.

Deteksi Citra Wajah Menggunakan Algoritma Haar Cascade Classifier

“…Algoritma haar cascade classifier ini adalah metode yang dikembangkan oleh viola dan jones pada tahun 2001. Algoritma ini sangat populer untuk melakukan pendeteksian wajah, sudah banyak penelitian yang menggunakan algoritma ini untuk melakukan pendeteksian wajah karena algoritma ini dapat melakukan deteksi dengan cepat, akurat dan juga dapat dilakukan secara langsung menggunakan kamera [4][5] [6].…”