Finger Knuckle-Print Authentication Using Fast Discrete Orthonormal Stockwell Transform /

Biometrics refers to the authentication techniques that depend on measurable physical characteristics and behavioural characteristics to identify an individual. The biometric systems consist of different stages such as image acquisition, preprocessing, feature extraction and matching. Biometric tech...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kumar, N. B. Mahesh (Autor), Premalatha, K. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hamburg, Germany : Diplomica Verlag GmbH : Anchor Academic Publishing, 2018.
Temas:
Biometric identification.
Identification biométrique.
COMPUTERS > General.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Finger Knuckle-Print Authentication Using Fast Discrete Orthonormal Stockwell Transform; TABLE OF CONTENTS; CHAPTER 1 INTRODUCTION TO BIOMETRICS; 1.1 Introduction; 1.1.1 Biometric Systems; 1.2 Palmprint Biometrics; 1.2.1 Preprocessing and ROI Extraction for Palmprint Biometrics; 1.3 Finger knuckle-print biometrics; 1.3.1 Finger Knuckle-print Anatomy; 1.3.2 Preprocessing and ROI Extraction for Finger Knuckle-Print Biometrics; 1.4 Pros of finger knuckle-print and palmprint; 1.5 Local and Global features; 1.6 Problem statement; 1.7 Motivation; 1.8 Objectives; 1.9 Biometric Datasets
  • 1.9.1 College of Engineering
  • Pune (COEP) Palmprint Datasets1.9.2 The PolyU Palmprint Datasets; 1.9.3 Indian Institute of Technology (IIT Delhi) Touchless Palmprint Datasets; 1.9.4 The PolyU Finger Knuckle-Print Datasets; 1.10 Performance Metrics; 1.10.1 False Acceptance Rate and False Rejection Rate; 1.10.2 Speed; 1.10.3 Equal Error Rate (EER); 1.10.4 Correct Classification Rate (CCR); 1.10.5 Data Presentation Curves; 1.10.5.1 Receiver Operating Characteristic (ROC) Curve
  • CHAPTER 2 FINGER KNUCKLE-PRINT IDENTIFICATION BASED ON LOCAL AND GLOBAL FEATURE EXTRACTION USING FAST DISCRETE ORTHONORMAL STOCKWELL TRANSFORM2.1 Overview of Fast Discrete orthonormal Stockwell transform; 2.2 Local
  • Global Feature Extraction and Matching; 2.2.1 Local Feature; 2.2.2 Global Feature; 2.3 Local global information fusion for knuckle-print recognition; 2.4 Experimental results and discussion; 2.5 Summary; CHAPTER 3 CONCLUSIONS AND FUTURE WORK; 3.1 SUMMARY AND CONCLUSIONS; 3.2 FUTURE WORKS; REFERENCES

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