Guide to Biometric Reference Systems and Performance by Dijana Petrovska-Delacrétaz, Gérard Chollet, Bernadette

By Dijana Petrovska-Delacrétaz, Gérard Chollet, Bernadette Dorizzi, Anil K. Jain

Our day-by-day interactions are according to spotting humans. As details expertise advances, our interactions should be finished via newly designed interfaces, with a necessary point being the automatic means of attractiveness of a person’s genuine identification: Biometrics. lately, biometrics has moved from utilizing fingerprints, to many alternative tools of assessing human actual and behavioural traits.

This worthy advisor introduces a brand new functionality assessment framework designed to supply whole insurance of functionality overview of significant biometric structures. key parts are offered: the 1st provides a distinct photo of the functionality evaluate of varied biometrics inside of a standard assessment framework (databases and protocols). the second one offers a state of the art benchmarking assessment framework to be used in destiny functionality reviews – produced from open-source reference systems.

Features and benefits:

• features a Foreword by way of well known biometric specialist Prof. Anil ok. Jain, Michigan nation college, USA

• Introduces the concept that of reproducible effects and comparative evaluations

• offers an intensive benchmarking methodology

• Describes reference algorithms intimately, with a hyperlink to resource code

• Biometrics Reference and overview Toolkit supplied through http://share.int-evry.fr/svnview-eph/

• Implements this technique all through all chapters

• deals readers a device for a greater overview in their algorithms via giving them the tools to completely reproduce the benchmarking (reference) experiments (software, database, experimental protocols)

• presents a world point of view with a standard review scheme and methodology

• Examines present study effects with this framework

• Consolidates effects from publicly on hand databases, utilizing good outlined protocols

This special text/reference combines state of the art learn with functional instruments for researchers, practitioners and graduates within the box of Biometrics and trend reputation, and with its accomplished insurance, it is going to turn out an vital source and often used tool.

Key topics

BioSecure Benchmarking Methodology

Biometric functionality Evaluation

Iris Recognition

Fingerprint Recognition

Hand Recognition

Online Handwritten Signature Verification

Text-independent Speaker Verification

2D and 3D Face Recognition

Talking Face Verification

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Extra info for Guide to Biometric Reference Systems and Performance Evaluation

Example text

Petrovska-Delacr´etaz et al. Biometrics could be seen as an example of the pattern recognition field. Biometric algorithms are designed to work on biometric data and that point introduces a series of problems related to biometric databases. More data is always better from the point of view of pattern recognition. Databases are needed in the different phases of the design of classifiers. More development data usually leads to better classifiers. More evaluation data (leading to a bigger number of tests) gives statistically more confident results.

For mature technologies developing such systems requires a lot of work, personnel, and experience, and could not be done in a short time. Another new PhD student arrived in Group B, and it happens that he would like to work on the same problem as PhD A, but with another features. Using the same benchmarking framework would allow them to work together and to constructively share their newly acquired findings and to measure their results against a mature system. Such a benchmarking framework is introduced in this book, for the major biometric modalities.

In such a way the research system can not only be compared to the reference system, but also on other databases and with new experimental protocols. All these comparisons will give useful information about the behavior of this system in different situations, its robustness, how competitive it is compared to the reference system and to the other research systems that have used the same evaluation methodology. 5 Conclusions This framework has been widely used in this book to enable comparisons of the algorithmic performances presented in each of the next nine chapters.

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