Multimodal biometric databases: an overview
TL;DR: The most important multimodal biometric databases publicly available are summarized, and the contents of some new multi-modal databases under development are outlined.
Abstract: The interest on biometric recognition systems for person authentication has experienced an important growth in the last decade. One of the key factors of this success is the availability of biometric databases; these are of utmost importance to define common benchmarks that enable consistent comparison of competing recognition strategies. The design, acquisition, and collection of these databases are one of the most time- and resource-consuming tasks for the research community, especially in the case of multimodal databases including multiple biometric traits and acquisition sessions. In this paper, the most important multimodal biometric databases publicly available are summarized, and the contents of some new multimodal databases under development are outlined
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01 Sep 2008
TL;DR: This paper presents the state of the art in automatic signature verification and addresses the most valuable results obtained so far and highlights the most profitable directions of research to date.
Abstract: In recent years, along with the extraordinary diffusion of the Internet and a growing need for personal verification in many daily applications, automatic signature verification is being considered with renewed interest. This paper presents the state of the art in automatic signature verification. It addresses the most valuable results obtained so far and highlights the most profitable directions of research to date. It includes a comprehensive bibliography of more than 300 selected references as an aid for researchers working in the field.
688 citations
Cites background from "Multimodal biometric databases: an ..."
...Furthermore, the approaches proposed in the literature cannot be easily compared due to the lack of large, public signature databases and widely accepted protocols for experimental tests [65], [73], [89], [247], [341]....
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...entific and technical issues, like those related to the statistical relevance of the population of individuals involved as well as the acquisition devices and protocols, but also legal aspects related to data privacy and intellectual property rights [89]....
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TL;DR: The HiLAM system, based on a three layer acoustic architecture, and an i-vector/PLDA system, outperforms the state-of-the-art i- vector system in most of the scenarios and provides a reference evaluation scheme and a reference performance on RSR2015 database to the research community.
274 citations
Autonomous University of Madrid1, University of Vigo2, Telecom & Management SudParis3, French Alternative Energies and Atomic Energy Commission4, University of Surrey5, University of Houston6, University of Kent7, University of Fribourg8, University of Sassari9, École Polytechnique Fédérale de Lausanne10, Joanneum Research11, Pompeu Fabra University12, Boğaziçi University13
TL;DR: A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented, comprised of more than 600 individuals acquired simultaneously in three scenarios: over the Internet, in an office environment with desktop PC, and in indoor/outdoor environments with mobile portable hardware.
Abstract: A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It is comprised of more than 600 individuals acquired simultaneously in three scenarios: 1 over the Internet, 2 in an office environment with desktop PC, and 3 in indoor/outdoor environments with mobile portable hardware. The three scenarios include a common part of audio/video data. Also, signature and fingerprint data have been acquired both with desktop PC and mobile portable hardware. Additionally, hand and iris data were acquired in the second scenario using desktop PC. Acquisition has been conducted by 11 European institutions. Additional features of the BioSecure Multimodal Database (BMDB) are: two acquisition sessions, several sensors in certain modalities, balanced gender and age distributions, multimodal realistic scenarios with simple and quick tasks per modality, cross-European diversity, availability of demographic data, and compatibility with other multimodal databases. The novel acquisition conditions of the BMDB allow us to perform new challenging research and evaluation of either monomodal or multimodal biometric systems, as in the recent BioSecure Multimodal Evaluation campaign. A description of this campaign including baseline results of individual modalities from the new database is also given. The database is expected to be available for research purposes through the BioSecure Association during 2008.
233 citations
Cites background from "Multimodal biometric databases: an ..."
...Multimodal biometric research was first supported by “chimeric” multimodal databases containing synthetic subjects [11]....
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TL;DR: A new multimodal biometric database, acquired in the framework of the BiosecurID project, is presented together with the description of the acquisition setup and protocol and features such as: realistic acquisition scenario, balanced gender and population distributions, availability of information about particular demographic groups, and compatibility with other existing databases.
Abstract: A new multimodal biometric database, acquired in the framework of the BiosecurID project, is presented together with the description of the acquisition setup and protocol. The database includes eight unimodal biometric traits, namely: speech, iris, face (still images, videos of talking faces), handwritten signature and handwritten text (on-line dynamic signals, off-line scanned images), fingerprints (acquired with two different sensors), hand (palmprint, contour-geometry) and keystroking. The database comprises 400 subjects and presents features such as: realistic acquisition scenario, balanced gender and population distributions, availability of information about particular demographic groups (age, gender, handedness), acquisition of replay attacks for speech and keystroking, skilled forgeries for signatures, and compatibility with other existing databases. All these characteristics make it very useful in research and development of unimodal and multimodal biometric systems.
160 citations
Cites background from "Multimodal biometric databases: an ..."
...Some signiflcant examples of multimodal biometric databases, either completed and already available, or in process of completion are [7, 8 ]:...
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TL;DR: An overview of some performance parameters and error rates for biometric person authentication systems is presented, and the importance of information fusion in multi-biometric approach is considered.
Abstract: This paper provides a review of multimodal biometric person authentication systems. The paper begins with an introduction to biometrics, its advantages, disadvantages, and authentication system using them. A brief discussion on the selection criteria of different biometrics is also given. This is followed by a discussion on the classification of biometric systems, their strengths, and limitations. Detailed descriptions on the multimodal biometric person authentication system, different modes of operation, and integration scenarios are also provided. Considering the importance of information fusion in multi-biometric approach, a separate section is dedicated on the different levels of fusion, which include sensor-level, feature-level, score-level, rank-level, and abstract-level fusions, and also different rules of fusion. This paper also presents an overview of some performance parameters and error rates for biometric person authentication systems. A separate section is devoted to the recent trends...
100 citations
Cites background from "Multimodal biometric databases: an ..."
...Hence, the most important multimodal biometric databases publicly available are summarized, and the contents of some new multimodal databases under development are outlined in [37]....
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References
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TL;DR: The objective of this review paper is to summarize and compare some of the well-known methods used in various stages of a pattern recognition system and identify research topics and applications which are at the forefront of this exciting and challenging field.
Abstract: The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used in practice. More recently, neural network techniques and methods imported from statistical learning theory have been receiving increasing attention. The design of a recognition system requires careful attention to the following issues: definition of pattern classes, sensing environment, pattern representation, feature extraction and selection, cluster analysis, classifier design and learning, selection of training and test samples, and performance evaluation. In spite of almost 50 years of research and development in this field, the general problem of recognizing complex patterns with arbitrary orientation, location, and scale remains unsolved. New and emerging applications, such as data mining, web searching, retrieval of multimedia data, face recognition, and cursive handwriting recognition, require robust and efficient pattern recognition techniques. The objective of this review paper is to summarize and compare some of the well-known methods used in various stages of a pattern recognition system and identify research topics and applications which are at the forefront of this exciting and challenging field.
6,527 citations
TL;DR: A protocol for evaluating verification algorithms on the BANCA database, a new large, realistic and challenging multi-modal database intended for training and testing multi- modal verification systems, is described.
Abstract: In this paper we describe the acquisition and content of a new large, realistic and challenging multi-modal database intended for training and testing multi-modal verification systems. The BANCA database was captured in four European languages in two modalities (face and voice). For recording, both high and low quality microphones and cameras were used. The subjects were recorded in three different scenarios, controlled, degraded and adverse over a period of three months. In total 208 people were captured, half men and half women. In this paper we also describe a protocol for evaluating verification algorithms on the database. The database will be made available to the research community through http://www.ee.surrey.ac.uk/Research/VSSP/banca.
470 citations
01 Aug 2002
TL;DR: The purpose of this document is to summarise the current understanding of the biometrics community of the best scientific practices for conducting technical performance testing towards the end of field performance estimation.
Abstract: The purpose of this document is to summarise the current understanding of the biometrics community of the best scientific practices for conducting technical performance testing towards the end of field performance estimation.
402 citations
TL;DR: A database of scores taken from experiments carried out on the XM2VTS face and speaker verification database is described and several fusion protocols are proposed and some state-of-the-art tools to evaluate the fusion performance are provided.
197 citations
TL;DR: The proposed scheme is shown to outperform significantly the fusion approach without considering quality signals and a relative improvement of approximately 20% is obtained on the publicly available MCYT bimodal database.
181 citations