Volume 17, No. 2, 2020
An Effective Blind Detection Technique for Medical Images Forgery
Dr. Sahab Dheyaa Mohammed, Taha Mohammed Hasan and Jumana Waleed
Abstract
The progress in the technologies of communication has produced different methods of transferring and accessing medical images. The prevalent utilization of communication and information methods enables anyone to tamper the contents of the original images. Consequently, for protecting the privacy of the patients and for ensuring the accuracy of diagnostics, a technique for detecting medical images forgery is needed. In that respect, in this paper, an effective block based detection technique for medical images has been proposed. In this proposed technique the copy and move tampering in the medical images can be detected in the discrete wavelet transform (DWT) and the matching process of blocks can be speeded up by utilizing the automatic clustering. The experimental results explain that the proposed forgery detection technique of medical images is capable of successfully detecting copy and move tampering with low processing time and high accuracy.
Pages: 862-873
DOI: 10.14704/WEB/V17I2/WEB17072
Keywords: Medical Images, Blind Detection Technique, Copy and Move Tampering, Discrete Wavelet Transform (DWT).