NDLI: A Comparison of Principal Component Analysis and Adaptive Principal Component Extraction for Palmprint Recognition

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2011 International Conference on Hand-Based Biometrics

Table of Contents

A Comparative Study on Unconstrained Hand Biometrics

A Comparison of Principal Component Analysis and Adaptive Principal Component Extraction for Palmprint Recognition

A Detection Method of Palmprint Principal Lines Based on Local Minimum Gray Value and Line Following

A New Touchless Palmprint Location Method Based on Contour Centroid

A Novel Adaptive Inertia Particle Swarm Optimization (AIPSO) Algorithm for Improving Multimodal Biometric Recognition

A Novel Composite Framework for Large-Scale Fingerprint Database Indexing and Fast Retrieval

A Novel Contactless Multimodal Biometric System Based on Multiple Hand Features

A Novel Riesz Transforms Based Coding Scheme for Finger-Knuckle-Print Recognition

A Palmprint Recognition System Based on Gabor Wigner Transform as Feature Extraction Technique

A Performance Evaluation of Fingerprint Minutia Descriptors

Adaptive SIFT-Based Algorithm for Specific Fingerprint Verification

An Efficient Hand Image Segmentation Algorithm for Hand Geometry Based Biometrics Recognition System

An Efficient Method for Finger-Knuckle-Print Recognition by Using the Information Fusion at Different Levels

Assessing the Difficulty Level of Fingerprint Datasets Based on Relative Quality Measures

Band Selection for Improvement of Dorsal Hand Recognition

Biohashing and Fusion of Palmprint and Palm Vein Biometric Data

Biometric Identification Based on Hand-Shape Features Using a HMM Kernel

Characterization of Palmprint Using Discrete Orthonormal S-Transform

Decision Level Fusion of Fingerprint Minutiae Based Pseudonymous Identifiers

Development of a Low Cost Motion Capture System to Analyze Wrist-Hand Complex

Embedded Three-Dimensional Surface Measurement System for Palmprint

Evaluation of Cancelable Biometric Systems: Application to Finger-Knuckle-Prints

Extraction of Binary Features from Fingerprint Topology

Fast Palmprint Identification Using Orientation Pattern Hashing

Finger-Vein Image Enhancement Based on Orientation Field

Finger-Vein Image Restoration Considering Skin Layer Structure

Hand Shape Recognition from Natural Hand Position

Hand-Dorsa Vein Recognition Based on Coded and Weighted Partition Local Binary Patterns

Hand-Shape Feature Selection and Recognition Performance Analysis

Keyed Scalable Minutiae Coding

Looking for Hand Biometrics Interoperability

Multi-Modal Biometric Feature Extraction and Recognition Based on Subclass Discriminant Analysis (SDA) and Generalized Singular Value Decomposition (GSVD)

Numerical Analysis of Dynamic Temperature in Response to Different Levels of Reactive Hyperemia in a Three-Dimensional Image-Based Hand Model

Orthogonal Complex Locality Preserving Projections Based on Image Space Metric for Finger-Knuckle-Print Recognition

Palmprint Identification Using Kronecker Product of DCT and Walsh Transforms for Multi-Spectral Images

Palmprint Identification Using LBP and Different Representations

Palmprint Recognition Using Band-Limited Minimum Average Correlation Energy Filter

Palmprint Recognition Using Band-Limited Minimum Average Correlation Energy Filter

Palmprint Verification on Mobile Phones Using Accelerated Competitive Code

Parametrical Study of a Vascular Biometric System

PCA-Based Multispectral Band Compression and Multispectral Palmprint Recognition

Person Recognition Using Multi-Biometrics: A Multi-Algorithmic Approach

Personal Identification for Single Sample Using Finger Vein Location and Direction Coding

Quality Estimation for Vascular Pattern Recognition

Robust Fingerprint Verification Using M-Triplets

Scattering Removal for Finger-Vein Image Enhancement

Semi-Supervised Palmprint Recognition Based on Similarity Projection Analysis

Speculation of Hand Features from Middle Finger Width: A Novel Approach

The Driver Authentication Device Based on the Characteristics of Palmprint and Palm Vein

The Impact of Force on Fingerprint Image Quality, Minutiae Count and Performance

Type-Independent Pixel-Level Alignment Point Detection for Fingerprints

Using the Number of Pores on Fingerprint Images to Detect Spoofing Attacks

Palmprint recognition by a two-phase test sample sparse representation

A Comparison of Principal Component Analysis and Adaptive Principal Component Extraction for Palmprint Recognition

Content Provider	IEEE Xplore Digital Library
Author	Ghandehari, A. Safabakhsh, R.
Copyright Year	2011
Abstract	This paper investigates palmprint recognition using Principal Component Analysis (PCA) and the Adaptive Principal component EXtraction (APEX) which is one of the PCA techniques involving neural network. Through implementing the PCA and APEX algorithms for extracting features and applying them to palmprint recognition with two classifiers, Euclidean distance and Hamming distance, it was made known that APEX algorithm is efficient in palmprint recognition and the rate of recognition given by APEX is way more than PCA.
Starting Page	1
Ending Page	6
File Size	729865
Page Count	6
File Format	PDF
ISBN	9781457704918
e-ISBN	9781457704901
e-ISBN	9781457704895
DOI	10.1109/ICHB.2011.6094307
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Training Feature extraction Vectors Eigenvalues and eigenfunctions Covariance matrix Principal component analysis
Content Type	Text
Resource Type	Article

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