Зарегистрироваться
Восстановить пароль
FAQ по входу

Wang P.S.P. (ed.) Pattern Recognition, Machine Intelligence and Biometrics

  • Файл формата pdf
  • размером 15,21 МБ
  • Добавлен пользователем
  • Описание отредактировано
Wang P.S.P. (ed.) Pattern Recognition, Machine Intelligence and Biometrics
Springer, 2011. — 386 p.
Pattern Recognition, Machine Intelligence and Biometrics covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics.
The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering.
Part I: Pattern Recognition and Machine Intelligence
A Review of Applications of Evolutionary Algorithms in Pattern Recognition
Pattern Discovery and Recognition in Sequences
A Hybrid Method of Tone Assessment for Mandarin CALL System
Fusion with Infrared Images for an Improved Performance and Perception
Feature Selection and Ranking for Pattern Classification in Wireless Sensor
Principles and Applications of RIDED-2D–A Robust Edge Detection Method in Range Images
Part II: Computer Vision and Image Processing
Lens Shading Correction for Dirt Detection
Using Prototype-Based Classification for Automatic Knowledge Acquisition
Tracking Deformable Objects with Evolving Templates for Real-Time Machine Vision
Human Extremity Detection for Action Recognition
Ensemble Learning for Object Recognition and Tracking
Depth Image Based Rendering
Part III: Face Recognition and Forensics
Gender and Race Identification by Man and Machine
Common Vector Based Face Recognition Algorithm
A Look at Eye Detection for Unconstrained Environments
Kernel Methods for Facial Image Preprocessing
Fingerprint Identification – Ideas, Influences, and Trends of New Age
Subspaces Versus Submanifolds –A Comparative Study of Face Recognition
Linear and Nonlinear Feature Extraction Approaches for Face Recognition
Facial Occlusion Reconstruction Using Direct Combined Model
Generative Models and Probability Evaluation for Forensic Evidence
Feature Mining and Pattern Recognition in Multimedia Forensics –Detection of JPEG Image Based Steganography, Double-Compression, Interpolations and WAV Audio Based Steganography
Part IV: Biometric Authentication
Biometric Authentication
Radical-Based Hybrid Statistical-Structural Approach for Online Handwritten Chinese Character Recognition
Current Trends in Multimodal Biometric System—Rank Level Fusion
Off-line Signature Verification by Matching with a 3D Reference Knowledge Image—From Research to Actual Application
Unified Entropy Theory and Maximum Discrimination on Pattern Recognition
Fundamentals of Biometrics—Hand Written Signature and Iris
Recent Trends in Iris Recognition
Using Multisets of Features and Interactive Feature Selection to Get Best Qualitative Performance for Automatic Signature Verification
Fourier Transform in Numeral Recognition and Signature Verification
  • Чтобы скачать этот файл зарегистрируйтесь и/или войдите на сайт используя форму сверху.
  • Регистрация