DeepAI AI Chat
Log In Sign Up

Identity Document and banknote security forensics: a survey

Counterfeiting and piracy are a form of theft that has been steadily growing in recent years. Banknotes and identity documents are two common objects of counterfeiting. Aiming to detect these counterfeits, the present survey covers a wide range of anti-counterfeiting security features, categorizing them into three components: security substrate, security inks and security printing. respectively. From the computer vision perspective, we present works in the literature covering these three categories. Other topics, such as history of counterfeiting, effects on society and document experts, counterfeiter types of attacks, trends among others are covered. Therefore, from non-experienced to professionals in security documents, can be introduced or deepen its knowledge in anti-counterfeiting measures.

READ FULL TEXT

page 8

page 9

page 12

page 15

page 17

07/28/2020

Coding Practices and Recommendations of Spring Security for Enterprise Applications

Spring security is tremendously popular among practitioners for its ease...
07/01/2021

MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis

Identity documents recognition is an important sub-field of document ana...
11/27/2020

A Survey of Deep Learning Approaches for OCR and Document Understanding

Documents are a core part of many businesses in many fields such as law,...
10/21/2016

Automated Big Text Security Classification

In recent years, traditional cybersecurity safeguards have proven ineffe...
12/04/2019

A Method of Fluorescent Fibers Detection on Identity Documents under Ultraviolet Light

In this work we consider the problem of the fluorescent security fibers ...
09/07/2022

State of Security Awareness in the AM Industry: 2020 Survey

Security of Additive Manufacturing (AM) gets increased attention due to ...
09/20/2021

Traitor-Proof PDF Watermarking

This paper presents a traitor-tracing technique based on the watermarkin...