Biometrics : personal identification in networked society by Anil Jain, Ruud Bolle, Sharath Pankanti

By Anil Jain, Ruud Bolle, Sharath Pankanti

Biometrics: own identity in Networked Society is a finished and obtainable resource of cutting-edge info on all latest and rising biometrics: the technology of instantly settling on contributors according to their physiological or habit features. particularly, the ebook covers:

*General ideas and concepts of designing biometric-based platforms and their underlying tradeoffs

*Identification of vital matters within the overview of biometrics-based systems

*Integration of biometric cues, and the mixing of biometrics with different present applied sciences

*Assessment of the features and barriers of alternative biometrics

*The entire exam of biometric tools in advertisement use and in study improvement

*Exploration of a few of the various privateness and protection implications of biometrics.

Also incorporated are chapters on face and eye identity, speaker popularity, networking, and different well timed technology-related concerns. All chapters are written via major the world over well-known specialists from academia and undefined.

Biometrics: own identity in Networked Society is a useful paintings for scientists, engineers, software builders, structures integrators, and others operating in biometrics.

Show description

Read Online or Download Biometrics : personal identification in networked society PDF

Similar computer vision & pattern recognition books

Markov Models for Pattern Recognition: From Theory to Applications

Markov versions are used to resolve hard development reputation difficulties at the foundation of sequential info as, e. g. , computerized speech or handwriting acceptance. This finished creation to the Markov modeling framework describes either the underlying theoretical strategies of Markov types - masking Hidden Markov types and Markov chain types - as used for sequential facts and provides the recommendations essential to construct profitable platforms for functional functions.

Cognitive Systems

Layout of cognitive structures for assistance to humans poses a huge problem to the fields of robotics and synthetic intelligence. The Cognitive platforms for Cognitive guidance (CoSy) undertaking was once geared up to handle the problems of i) theoretical growth on layout of cognitive platforms ii) tools for implementation of structures and iii) empirical reviews to extra comprehend the use and interplay with such platforms.

Motion History Images for Action Recognition and Understanding

Human motion research and popularity is a comparatively mature box, but one that is frequently now not good understood by means of scholars and researchers. the big variety of attainable adaptations in human movement and visual appeal, digital camera standpoint, and atmosphere, current huge demanding situations. a few very important and customary difficulties stay unsolved by way of the pc imaginative and prescient neighborhood.

Data Clustering: Theory, Algorithms, and Applications

Cluster research is an unmonitored technique that divides a collection of gadgets into homogeneous teams. This e-book starts off with simple info on cluster research, together with the class of knowledge and the corresponding similarity measures, through the presentation of over 50 clustering algorithms in teams in accordance with a few particular baseline methodologies resembling hierarchical, center-based, and search-based equipment.

Additional resources for Biometrics : personal identification in networked society

Example text

We discuss more on image capture devices in Section 8. Image Enhancement A fingerprint image is one of the noisiest of image types. This is due predominantly to the fact that fingers are our direct form of contact for most of the manual tasks we perform: finger tips become dirty, cut, scarred, creased, dry, wet, worn, etc. The image enhancement step is designed to reduce this noise and to enhance the definition of ridges against valleys. Two image processing operations designed for these purposes are the adaptive, matched filter and adaptive thresholding.

This results in “noisy” low contrast images, leading to either spurious minutiae or missing minutiae. (iii) Irreproducible contact: vigorous manual work, accidents etc. inflict injuries to the finger, thereby, changing the ridge structure of the finger either permanently or semi-permanently. This may introduce additional spurious minutiae. (iv) Feature extraction artifacts: the feature extraction algorithm is imperfect and introduces measurement errors. Various image processing operations might introduce inconsistent biases to perturb the location and orientation estimates of the Introduction to Biometrics 29 reported minutiae from their gray scale counterparts.

Wide-spread use of biometrics-based identification systems should not only address the above mentioned issues from technical standpoint but also from the public perception point of view. This is especially true for assuring the users that their biometric information will remain private and will only be used for the expressed purpose for which it was collected. 36 Jain et al. 27 “The true terror is in the card”, an illustration from Robert E. Smith’s article [9] in the New York Times Magazine summarizes the essence of public perception about biometric technology: it is dehumanizing and is a threat to privacy rights of an individual.

Download PDF sample

Rated 4.57 of 5 – based on 47 votes