Towards a unified framework for identity documents analysis and recognition

Identity documents recognition is far beyond classical optical character recognition problems. Automated ID document recognition systems are tasked not only with the extraction of editable and transferable data but with performing identity validation and preventing fraud, with an increasingly high cost of error. A significant amount of research is directed to the creation of ID analysis systems with a specific focus for a subset of document types, or a particular mode of image acquisition, however, one of the challenges of the modern world is an increasing demand for identity document recognition from a wide variety of image sources, such as scans, photos, or video frames, as well as in a variety of virtually uncontrolled capturing conditions. In this paper, we describe the scope and context of identity document analysis and recognition problem and its challenges; analyze the existing works on implementing ID document recognition systems; and set a task to construct a unified framework for identity document recognition, which would be applicable for different types of image sources and capturing conditions, as well as scalable enough to support large number of identity document types. The aim of the presented framework is to serve as a basis for developing new methods and algorithms for ID document recognition, as well as for far more heavy challenges of identity document forensics, fully automated personal authentication and fraud prevention.This work was partially supported by the Russian Foundation for Basic Research (Project No. 18-29-03085 and 19-29-09055)

Digital watermarking and novel security devices

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Final

The present report reviews the fundamental right to privacy and data protection which shall be assured to individuals and the Directive 95/46/EC which provides more detailed rules on how to establish protection in the case of biometric data processing. The present framework does not seem apt to cope with all issues and problems raised by biometric applications. The limited recent case law of the European Court of Human Rights and the Court of Justice sheds some light on some relevant issues, but does not answer all questions. The report provides an analysis of the use of biometric data and the applicable current legal framework in six countries. The research demonstrates that in various countries, position is taken against the central storage of biometric data because of the various additional risks such storage entails. Furthermore, some countries stress the risks of the use of biometric characteristics which leave traces (such as e.g., fingerprint, face, voice…). In general, controllers of biometric applications receive limited clear guidance as to how implement biometric applications. Because of conflicting approaches, general recommendations are made in this report with regard to the regulation of central storage of biometric data and various other aspects, including the need for transparency of biometric systems

Review and Analysis of Current and Future European e-ID Schemes

The purpose of this report is to accomplish the following objectives: 1. Review and analysis of existing and future e-ID standards and technologies 2. Review and analysis of national e-ID card schemes (in Europe), including their objectives and the policy drivers (motivation). 3. A review of the applications that e-ID cards enable, both for public policy purposes and commercial usage (planned & actual). 4. Lessons learned from existing e-ID card schemes (successes and failures) and determine whether new international schemes/standards will address past short-comings or not. As a result of attempting to accomplish these objectives, it became apparent that across Europe we are still in a fairly early stage of development. More importantly, there is no coordinated effort across Europe to implement e-ID cards. Leading e-ID card schemes to be designed and implemented at a national level has lead to a heterogeneous collection of scheme types. Not only is there an inconsistency in the primary objectives of e-ID cards, the use of different standards and technologies has lead to a lack of interoperability between schemes

Privacy-aware Biometric Blockchain based e-Passport System for Automatic Border Control

In the middle of 1990s, World Wide Web technology initially steps into our life. Now, 30 years after that, widespread internet access and established computing technology bring embodied real life into Metaverse by digital twin. Internet is not only blurring the concept of physical distance, but also blurring the edge between the real and virtual world. Another breakthrough in computing is the blockchain, which shifts the root of trust attached to a system administrator to the computational power of the system. Furthermore, its favourable properties such as immutable time-stamped transaction history and atomic smart contracts trigger the development of decentralized autonomous organizations (DAOs). Combining above two, this thesis presents a privacy-aware biometric Blockchain based e-passport system for automatic border control(ABC), which aims for improving the efficiency of existing ABC system. Specifically, through constructing a border control Metaverse DAO, border control workload can be autonomously self-executed by atomic smart contracts as transaction and then immutably recorded on Blockchain. What is more, to digitize border crossing documentation, biometric Blockchain based e-passport system(BBCVID) is created to generate an immutable real-world identity digital twin in the border control Metaverse DAO through Blockchain and biometric identity authentication. That is to say, by digitizing border crossing documentation and automatizing both biometric identity authentication and border crossing documentation verification, our proposal is able to significantly improve existing border control efficiency. Through system simulation and performance evaluation by Hyperledger Caliper, the proposed system turns out to be able to improve existing border control efficiency by 3.5 times more on average, which is remarkable. What is more, the dynamic digital twin constructed by BBCVID enables computing techniques such as machine learning and big data analysis applicable to real-world entity, which has a huge potential to create more value by constructing smarter ABC systems

A Survey of the European Security Market

This document synthesizes the results of the research made on the European security market. It deals with questions of interest regarding the provision of security goods and services for protecting society from terrorism and organised crime. It explores issues such as market revenues, demand and supply, industrial capabilities, technology, research and development, innovation, business strategies, competition as well as market structure, agents' conduct and economic performance. The research has been based upon desk analysis of open source information related to the security market. Economic theory and critical analysis has been applied to understand the gathered information, derive knowledge, point out key issues and assess trends and drivers that will likely shape the sector's future. The study is the outcome of the working package number 5 included in the research project A new Agenda for European Security Economics (EUSECON). This project with code number 218195 has been financed by the European Commission within the 7th European Research Framework Programme. The task has been performed by the company ISDEFE according to the scope and work plan described in the EUSECON proposal. The author wishes to express his appreciation to all the individuals that have provided input and valuable comments to this study, including anonymous referees. Any flaws or omissions contained in this document are solely the responsibility of the author.

Spartan Daily, September 17, 1998

Volume 111, Issue 13https://scholarworks.sjsu.edu/spartandaily/9301/thumbnail.jp

Spartan Daily, May 14, 1996

Volume 106, Issue 70https://scholarworks.sjsu.edu/spartandaily/8855/thumbnail.jp