Object Recognition Fundamentals and Case Studies

This volume introduces the fundamental concepts and tools involved in the design and implementation of object recognition systems. Divided into three parts, it first introduces the topic and covers the acquisition of images, then details 3-D object recons...

 Computer Simulation of Aerial Target Radar Scattering, Recognition, Detection, and Tracking

Here's a ground-breaking new book that provides you with the knowledge you need to perform effective computer simulation of scattering for the real targets and conditions of radio wave propagation. By replacing field tests with the computer simulation met...

 Digital Document Processing Major Directions and Recent Advances

With the advent of the Digital Library initiative, web document processing and biometric aspects of digital document processing, together with new techniques of printed and handwritten Optical Character Recognition (OCR), a good overview of this fast-deve...

 Reliable Face Recognition Methods System Design, Implementation and Evaluation

One of the grand challenges for computational intelligence and biometrics is to understand how people process and recognize faces and to develop automated and reliable face recognition systems. Biometrics has become the major component in the complex deci...

 Data Complexity in Pattern Recognition

Machines capable of automatic pattern recognition have many fascinating uses in science and engineering as well as in our daily lives. Algorithms for supervised classification, where one infers a decision boundary from a set of training examples, are at t...

 Pattern Recognition

A classic -- offering comprehensive and unified coverage with a balance between theory and practice! Pattern recognition is integral to a wide spectrum of scientific disciplines and technologies including image analysis, speech recognition and audi...

 Pattern Recognition in Industry

Two wave fronts are upon us today: we are being bombarded by an enormous amount of data, and we are confronted by continually increasing technical and business advances. Ideally, the endless stream of data should be one of our major assets. However, ...

 Correlation Pattern Recognition

Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern reco...

 Computer-Aided Intelligent Recognition Techniques and Applications

Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermore, they play a critical role in the traditional fields...

 Handbook of Face Recognition

Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a compr...

 Statistical Pattern Recognition

Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years. New and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwri...

 2d objects detention and recognition Models, algorithms, and networks

"Modeling the human ability to identify objects in images has proved to be a significant challenge. While computer vision researchers have largely concentrated on the geometric aspects of the problem such as recognition under varying poses, researchers in...

  Speech recognition Theory and C++ implementation

Automatic speech recognition (ASR) is the technology behind the voice-triggered computer menus. Users of these systems include private telephone exchanges and real-time, on-line telephone information services. This book introduces the basic principles beh...

 Combining Pattern Classifiers Methods and Algorithms

A unified, coherent, and expansive treatment of current classifier ensemble methods Mail sorting, medical test reading, military target recognition, signature verification, meteorological forecast, DNA matching, fingerprint recognition. These are just ...

 Computer speech Recognition, compression, synthesis

This new edition of Computer Speech is an introduction to multimedia speech applications that is also suitable for nonspecial-ists. New material treats such contemporary subjects as automatic speech recognition and speaker verification for banking by co...

 Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clusterin...

 Neural Networks for Pattern Recognition

This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modelling probability density functions and the prope...

 Random graphs for statistical pattern recognition

A timely convergence of two widely used disciplines Random Graphs for Statistical Pattern Recognition is the first book to address the topic of random graphs as it applies to statistical pattern recognition. Both topics are of vital interest to researcher...

  Machine Vision

This book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many progr...

  Hanbook of fingerprint recognition

The enormous interest aroused by electronic commerce on the Internet and, more generally, by the need for reliable techniques to authenticate the identity of a living person in a broad range of applications has greatly intensified development of biometric...

 Handwriting recognition Soft computing and probabilistic approaches

This book takes a fresh look at the problem of unconstrained handwriting recognition and introduces the reader to new techniques for the recognition of written words and characters using statistical and soft computing approaches. The types of uncertaintie...