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.
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Additional resources for Biometrics : personal identification in networked society
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  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.