Central Symmetric Local Binary Pattern Based Image Forgery Detection

Year 2021, Volume: IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium Issue: Special, 288 - 294, 20.10.2021

Bilgehan Gürünlü , Serkan Öztürk

https://doi.org/10.53070/bbd.990064

Abstract

With the progress in multimedia editing tools, fraud operations, especially on images, have begun to be encountered frequently. For this purpose, in recent years, many new algorithms are needed in computer science under image forgery detection. In this study, the Central Symmetric Local Binary Pattern algorithm, which is a successful texture extraction algorithm, to the best of our knowledge, that has not been used in this field before, has been tested on a current image dataset.

Keywords

Image processing, information security, copy- move forgery detection

Merkezi Simetrik Yerel İkili Örüntü Temelli Görüntü Sahteciliği Tespiti

Abstract

Multimedya düzenleme araçlarındaki ilerleme ile birlikte günümüzde özellikle görüntüler üzerinde sahtecilik işlemleri sıklıkla karşılaşılmaya başlanmıştır. Buna yönelik olarak son yıllarda, bilgisayar bilimlerinde, görüntü sahteciliği altında birçok yeni algoritmaya ihtiyaç duyulmaktadır. Bu çalışmada daha önce bu alanda kullanılmamış, başarılı bir doku çıkarım algoritması olan, Merkezi Simetrik Yerel İkili Örüntü algoritması güncel bir görüntü veriseti üzerinde denenmiştir.

Keywords

Görüntü işleme, bilgi güvenliği, kopyala taşı sahteciliği

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