Enhancing the performance of multimodal automated border control systems

Biometric recognition in Automated Border Control (ABC) systems is performed in response to an increased worldwide traffic, by automatically verifying the identity of the passenger during border crossing. Currently, ABC systems seldom use methods for multimodal biometric fusion, which have been proved to increase the recognition accuracy, due to technological and privacy limitations. This paper proposes a framework for the biometric fusion in ABC systems, with the features of being technology-neutral and privacy- compliant, by performing an analysis of the most suitable biometric fusion techniques for ABC systems and considering the current technical and legal limitations

Automated border control systems: biometric challenges and research trends

Automated Border Control (ABC) systems automatically verify the travelers\u2019 identity using their biometric information, without the need of a manual check, by comparing the data stored in the electronic document (e.g., the e-Passport) with a live sample captured during the crossing of the border. In this paper, the hardware and software components of the biometric systems used in ABC systems are described, along with the latest challenges and research trends

Impact of Trade Facilitation on Export Competitiveness: a Regional Perspective

After decades of war and internal conflict, Cambodia is now an emerging economy and a new democracy. The country's economy is highly dependent on external assistance and a few crucial industries such as agriculture, tourism, and most importantly, garment manufacturing for export.Trade, Transport, Facilitation, Cambodia, garment, export

Bangladesh and Regional Connectivity : Best Practices from Global Experiences

South Asia, economic integration, Bangladesh, transport costs

Fast computation of the performance evaluation of biometric systems: application to multibiometric

The performance evaluation of biometric systems is a crucial step when designing and evaluating such systems. The evaluation process uses the Equal Error Rate (EER) metric proposed by the International Organization for Standardization (ISO/IEC). The EER metric is a powerful metric which allows easily comparing and evaluating biometric systems. However, the computation time of the EER is, most of the time, very intensive. In this paper, we propose a fast method which computes an approximated value of the EER. We illustrate the benefit of the proposed method on two applications: the computing of non parametric confidence intervals and the use of genetic algorithms to compute the parameters of fusion functions. Experimental results show the superiority of the proposed EER approximation method in term of computing time, and the interest of its use to reduce the learning of parameters with genetic algorithms. The proposed method opens new perspectives for the development of secure multibiometrics systems by speeding up their computation time.Comment: Future Generation Computer Systems (2012

Multimodal Biometric Authentication System: Challenges and Solutions

Biometric technologies are automated methods for measuring and analyzing biological data extracting a feature set from acquired data and comparing this set against to the templates set in the database Unimodal biometric system have variety of problems such as noisy data spool attacks etc Multimodal biometrics refers the combination of two or more biometric modalities in a single identification Most biometric verification systems are done based on knowledge base and token based identification these are prone to fraud Biometric authentication employs unique combinations ofmeasurable physical characteristics- fingerprint facial features iris of the eye voice print and so on- that cannot be readily imitated or forged by others This paper discuss the various scenarios that are possible in multi model biometric system the level of fusion that are plausible and the integration strategic that can be adopted to consolidate information Fusion methods include processing biometric madalitics sequential until an acceptable match is obtaine