Image forgery detection review

• With the wide spread of digital document use in administrations, fabrication and use of forged documents have become a serious problem. This paper presents a study and classification of the most important works on image and document forgery detection. The classification is based on documents type, forgery type, detection method, validation dataset, evaluation metrics and obtained results. Most of existing forgery detection works are dealing with images and few of them analyze administrative documents and go deeper to analyze their contents. © 2021 IEEE.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

Nyckelord

Copy-move forgery

Digital image forgery

Document forgery

forgery detection methods

imitation

Splicing

Computer crime

Information retrieval systems

Copy-move forgeries

Detection methods

Digital image

Forgery detection method

Forgery detections

Image forgery

Classification (of information)

Publikations- och innehållstyp

ref (ämneskategori)

kon (ämneskategori)