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This paper provides an overview of the Speaker Anti-spoofing Competition organized by Biometric group at Idiap Research Institute for the IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2016). The competition used AVspoof database, which contains a comprehensive set of presentation attacks, including, (i) direct replay attacks when a genuine data is played back...
We present a progressive method of applying easy-to-hard grouping technique that applies increasingly sophisticated feature descriptors and classifiers on reducing number of image samples from each of the iteratively generated clusters. The primary goal of the proposed approach is to design a cost effective face clustering method to deploy on low-power devices like Mobile phones, while handling various...
Hundreds of millions of images are uploaded to the cloud every day. Innovative applications able to analyze and extract efficiently information from such a big database are needed nowadays more than ever. Visual Search is an application able to retrieve information of a query image comparing it against a large image database. In this paper a Visual Search pipeline implementation is presented able...
Database-driven CRN is vulnerable to spoofing attacks. In this paper, we identified proactive location spoofing and passive location cheating attacks in database-driven CRN. Consequently, we proposed a novel and efficient location proof scheme via location tags collected from the LTE paging channel. Then, we adopted private equality test technology to test whether two location sketches matches, which...
We show the first camera based (privacy-preserving) indoor mobile positioning system, CaPSuLe, which does not involve any communication (or data transfer) with any other device or the cloud. The algorithm only needs 78.9MB of memory and can localize a mobile device with 92.11% accuracy. Furthermore this is done in 1.92 seconds of on-device computation consuming 3.77 Joules of energy, as evaluated...
Subjective test methodologies are morphing to enable researchers to answer questions relevant to rapidly evolving technologies in an efficient and reliable manner. This paper is an exploration of how subjective testing that employs crowdsourcing can be refined to drive stability and reliability in subjective results. We investigate how various design decisions can lead to disparate subjective responses;...
Ocular biometrics refers to personal identification using iris, conjunctival vasculature, periocular or eye movements. Contrary to most of other biometric traits, ocular biometrics does not require high user cooperation and close capture distance. Biometrics is now adopted ubiquitously as an alternative to passwords on mobile devices. Especially, ocular biometrics in the visible spectrum has attracted...
Ocular recognition algorithms, including iris matching, have been used in several applications including large scale national ID projects such as India's Aadaar. Deployment of large-scale biometric systems is expected to rely on using multiple devices including mobile devices to ensure widespread adoption of biometric recognition systems. Ocular images captured using mobile devices may have challenges...
With the unprecedented mobile technology revolution, a number of ocular biometric based personal recognition schemes have been proposed for mobile use cases. The aim of this competition is to evaluate and compare the performance of mobile ocular biometric recognition schemes in visible light on a large scale database (VISOB Dataset ICIP2016 Challenge Version) using standard evaluation methods. Four...
In the age of scientific development, people are becoming more and more dependent on mobile phones. The proposed mobile application is designed to reduce the manual work and ease out teaching and learning in academics. This method has been proposed in view of needs of both the faculty as well as the students of any college. Firstly, this application automatically mark the student attendance, stores...
In an ideal world every application, web page or system developed would undergo an iterative series of interface and usability evaluations. Unfortunately, we do not live in an ideal world and often limited testing occurs. Coupled with this is the rapid development of mobile applications for use in many areas. Often these are developed very quickly and, given consideration when developing this type...
It is currently highly demanded to achieve a home health examination device for multiple physiological data and remote monitoring. In this paper, we propose a scheme to detect and transmit multiple physiological data, and then display them on smart devices by the Bluetooth. Further, these messages are sent to the web server for remote monitoring based on the Internet. The mobile terminal programs...
Different from one-dimensional barcode, QR (quick response) code is a popular two-dimensional barcode due to the fact that it can carry greater data capacity and capable of resisting damage. The content of QR code can be easily revealed by barcode scanners. However, in the real world QR applications, the content could be private information, such as the e-ticket and e-coupon. The QR content should...
We consider the problem of accurately and efficiently querying a remote server to retrieve information about images captured by a mobile device. In addition to reduced transmission overhead and computational complexity, the retrieval protocol should be robust to variations in the image acquisition process, such as translation, rotation, scaling, and sensor-related differences. We propose to extract...
Location service is one of the primary services in smart automated systems of Internet of Things (IoT). For various location-based services, accurate localization has become a key issue. Recently, research on IoT localization systems for smart buildings has been attracting increasing attention. In this paper, we propose a novel localization approach that utilizes the neighbor relative received signal...
Campus libraries in modern universities provide students with group study areas where they can work and study collaboratively. In this paper, we propose a complete solution for the creation of study groups in future smart libraries featuring (i) a smartphone application to create study groups, (ii) a hybrid Bluetooth Low Energy (BLE) and Wi-Fi indoor positioning system to localize study groups and...
An innovative system is proposed for using mobile devices for remote recognition. When the user draws a pattern in the local browser, the pattern is transmitted to a remote server that immediately performs the recognition task and database search. The recognition system uses bidirectional associative memory (BAM) with artificial neural network technology. This study is based on the example of buying...
Iris recognition on mobile devices is challenging due to a large number of low-quality iris images acquired in complex imaging conditions. Illumination variations, low resolution and serious noises reduce the distinctiveness of iris texture. This paper explores complementary features to improve the accuracy of iris recognition on mobile devices. Firstly, optimized ordinal measures (OMs) features are...
The accretion of smartphone affects to a proliferation of demand in location service and system. A GPS is one of the famous technologies for localization because GPS can localize accurately when devices are outdoor. But when devices are indoor, GPS signal will be blocked by wall and roof. In order to create indoor localization system, there are many researches related to this topic. Most of previous...
This project aims to implement virtual shopping arcade via GSM network implementation. The new innovation on online shopping requires people to have internetworking connection. This project however is developed to target mobile phone users to do shopping virtually without the needs of having data subscription account in their mobile phone. The system is built using several tools such as visual basic...
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