New PDF release: Biometrics in a Data Driven World: Trends, Technologies, and

By Sinjini Mitra, Mikhail Gofman

ISBN-10: 1315317060

ISBN-13: 9781315317069

ISBN-10: 1498737641

ISBN-13: 9781498737647

Biometrics in a knowledge pushed international: traits, applied sciences, and Challenges goals to notify readers in regards to the sleek purposes of biometrics within the context of a data-driven society, to familiarize them with the wealthy historical past of biometrics, and to supply them with a glimpse into the way forward for biometrics.

The first component to the publication discusses the basics of biometrics and gives an outline of universal biometric modalities, specifically face, fingerprints, iris, and voice. It additionally discusses the heritage of the sector, and gives an summary of rising traits and possibilities. the second one part of the e-book introduces readers to a variety of biometric purposes.

The subsequent a part of the booklet is devoted to the dialogue of case reviews of biometric modalities at present used on cellular functions. As smartphones and capsule pcs are swiftly turning into the dominant patron laptop structures, biometrics-based authentication is rising as a vital part of defending cellular units opposed to unauthorized entry, whereas permitting new and hugely well known purposes, comparable to safe on-line fee authorization.

The booklet concludes with a dialogue of destiny developments and possibilities within the box of biometrics, on the way to pave the way in which for advancing examine within the sector of biometrics, and for the deployment of biometric applied sciences in real-world applications.

The booklet is designed for people attracted to exploring the modern purposes of biometrics, from scholars to researchers and practitioners operating during this box. either undergraduate and graduate scholars enrolled in college-level safety classes also will locate this ebook to be a particularly priceless companion.

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Additional resources for Biometrics in a Data Driven World: Trends, Technologies, and Challenges

Sample text

It was shown that Eigenphases outperform Eigenfaces and Fisherfaces when trying to recognize not only full faces but also partial or occluded faces. 3. 2 Fingerprints Fingerprinting is the oldest biometric identification method. It dates back to 1891 when police official Juan Vucetich first cataloged fingerprints of criminals in Argentina [23]. Fingerprint identification is based upon unique and invariant features of fingerprints. According to the Federal Bureau of Investigation (FBI), the odds of two people sharing the same fingerprints are one in 64,000,000,000.

Nonuniform lighting can create shadows and hence affect face image quality to a great extent. Hence, it is important to overcome irregular lighting, and some available techniques for this include (i) normalization, (ii) histogram equalization, and (iii) order-statistic filtering. 9. 9 Images of a person under various illumination conditions. Often cameras capture facial images that are at a certain angle, say, turned sideways. Most face recognition algorithms work best when dealing with full frontal images; however, their performance deteriorates quickly as the face is rotated more and more away from this.

The process of biometric authentication (this example is for a mobile phone). 2 shows a schematic of how the biometric authentication process works in practice, using the sensor (fingerprint reader) in a mobile phone. Because of the decision-theoretic framework involved, there is scope for error in any biometric authentication scheme. These are typically determined with respect to thresholds that are set on the match scores, so that a set of FARs and FRRs are generated for a system with varying thresholds.

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Biometrics in a Data Driven World: Trends, Technologies, and Challenges by Sinjini Mitra, Mikhail Gofman


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