By Svetlana N. Yanushkevich, Adrian Stoica, Vlad P. Shmerko, Denis V. Popel
Conventional equipment of biometric research are not able to beat the constraints of latest methods, in general because of the loss of criteria for enter info, privateness matters regarding use and garage of tangible biometric info, and unacceptable accuracy. Exploring ideas to inverse difficulties in biometrics transcends such limits and permits wealthy research of biometric info and structures for superior functionality and checking out. even supposing a few specific inverse difficulties seem within the literature, previously there was no entire reference for those problems.
Biometric Inverse difficulties presents the 1st finished remedy of biometric facts synthesis and modeling. This groundbreaking reference includes 8 self-contained chapters that conceal the rules of biometric inverse difficulties; fundamentals of information constitution layout; new computerized man made signature, fingerprint, and iris layout; man made faces and DNA; and new instruments for biometrics in line with Voronoi diagrams. in line with the authors' large event within the box, the e-book authoritatively examines new techniques and methodologies in either direct and inverse biometrics, delivering worthy analytical and benchmarking instruments. The authors contain case experiences, examples, and implementation codes for useful representation of the methods.
Loaded with nearly two hundred figures, 60 difficulties, 50 MATLAB® code fragments, and two hundred examples, Biometric Inverse difficulties units the normal for innovation and authority in biometric info synthesis, modeling, and research.
Read or Download Biometric Inverse Problems PDF
Best imaging systems books
From studies of the 1st version: "This is a scholarly travel de strength in the course of the global of morphological photograph research […]. i like to recommend this ebook unreservedly because the most sensible one i've got encountered in this specific subject […]" BMVA information
From its preliminary ebook titled Laser Beam Scanning in 1985 to instruction manual of Optical and Laser Scanning, now in its moment variation, this reference has saved execs and scholars on the vanguard of optical scanning expertise. rigorously and meticulously up-to-date in every one generation, the e-book is still the main complete scanning source out there.
Provides fresh major and speedy improvement within the box of 2nd and 3D picture research 2nd and 3D photograph research through Moments, is a special compendium of moment-based photo research consisting of conventional equipment and in addition displays the most recent improvement of the sphere. The booklet provides a survey of 2nd and 3D second invariants with appreciate to similarity and affine spatial ameliorations and to snapshot blurring and smoothing by way of numerous filters.
- Biometric Inverse Problems
- Content-Based Video Retrieval: A Database Perspective (Multimedia Systems and Applications)
- Fiber-Optic Communication Systems
- Digital Imaging for Cultural Heritage Preservation: Analysis, Restoration, and Reconstruction of Ancient Artworks (Digital Imaging and Computer Vision)
Additional info for Biometric Inverse Problems
This problem is discussed from an engineering point of view. However, this is a phenomenological problem that is not well understood yet. , in interfacing various types of information. 1 Brain-To-Brain, Brain-To-Machine, Speech-To-Vision, Speech-To-Machine. Types of conversions There are two cases of information conversions: Conversions between non-biometric information and biometric information < Non-biometric information > ⇔ < Biometric information > . For example, conversion of information from text (non-biometric) and information carried by lip movement (facial biometric information).
In this way it is possible to create unique, anatomically-accurate “bio models” with respect to individual patient’s data. 4 There are several approaches to recognizing a synthetic face - for example, a thermography image. Visible light, as a form of electromagnetic energy, has wavelengths ranging from about 400 µm for violet light to about 700 µm for red light. 5). The human body radiates nonvisible infrared light (waves of 3-12 µm long) in proportion to its temperature. The Stefan-Boltzmann law states that the total radiation emitted by an object is directly proportional to the object’s area and emissivity and the fourth power of its absolute temperature.
Hence, there is a need for both human and machine-based approaches. Artiﬁcial intelligence support is based on techniques that can analyze and collect knowledge, and return it into knowledge of a diﬀerent forms† . For this, speciﬁc data structures are used. Artiﬁcial intelligence tools are classiﬁed as (a) Artiﬁcial neural networks, (b) Algorithms that implement the evolutionary strategies, and †A knowledge-based system is software or hardware that acquires, represents, and uses knowledge for a speciﬁc purpose.