Pose Invariant Hand Biometry Using Multiple Database

被引：0

作者：

Alex, Neena Susan ^{[1
]}

Kumar, E. S. Karthik ^{[2
]}

Tharayil, Jose J. ^{[1
]}

机构：

[1] Hindustan Inst Technol & Sci, Madras, Tamil Nadu, India

[2] Hindustan Inst Technol & Sci, Elect & Commun Dept, Madras, Tamil Nadu, India

来源：

INTERNATIONAL CONFERENCE ON MODELLING OPTIMIZATION AND COMPUTING | 2012年 / 38卷

关键词：

Neighborhood method; palm-print; valley-peak points; Pose correction;

D O I：

10.1016/j.proeng.2012.06.414

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We propose the significance in use of multiple databases for the purpose of authentication using the palm-print of the hand for increased speed. The technique is used for authentication using the acquired image of the hand. The hand could be held in any pose hence providing pose independence. We use Appearance analysis for feature extraction. This technique also suggests hand independence for biometric authentication It also provides a robust technique for detecting the extremities using a neighborhood scan method. (C) 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Noorul Islam Centre for Higher Education

引用

页码：3579 / 3586

页数：8

共 50 条

[1] Pose Invariant Hand Biometry Using Multiple Database
Alex, Neena Susan
Kumar, E. S. Karthik
Tharayil, Jose J.
INTERNATIONAL CONFERENCE ON MODELLING OPTIMIZATION AND COMPUTING, 2012, 38 : 2103 - 2110
[2] Contactless and Pose Invariant Biometric Identification Using Hand Surface
Kanhangad, Vivek
Kumar, Ajay
Zhang, David
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2011, 20 (05) : 1415 - 1424
[3] OUHANDS database for hand detection and pose recognition
Matilainen, Matti
Sangi, Pekka
Holappa, Jukka
Silven, Olli
2016 SIXTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA), 2016,
[4] Template-based hand pose recognition using multiple cues
Stenger, B
COMPUTER VISION - ACCV 2006, PT II, 2006, 3852 : 551 - 560
[5] Robust Pose Invariant Shape-based Hand Recognition
El-Sallam, A.
Sohel, F.
Bennamoun, M.
2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2011, : 281 - 286
[6] Pose-Invariant Hand Shape Recognition Based on Finger Geometry
Kang, Wenxiong
Wu, Qiuxia
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2014, 44 (11): : 1510 - 1521
[7] A Survey on Hand Biometry
Bahmed, Farah
Mammar, Madani Ould
4TH INTERNATIONAL CONFERENCE ON SMART CITY APPLICATIONS (SCA' 19), 2019,
[8] Hand based biometry
Yörük, E
Dutagaci, H
Sankur, B
IMAGE AND VIDEO COMMUNICATIONS AND PROCESSING 2005, PTS 1 AND 2, 2005, 5685 : 1106 - 1115
[9] Database indexing methods for 3D hand pose estimation
Athitsos, V
Sclaroff, S
GESTURE-BASED COMMUNICATION IN HUMAN-COMPUTER INTERACTION, 2003, 2915 : 288 - 299
[10] Pose invariant face recognition using linear pose transformation in feature space
Lee, HS
Kim, DJ
COMPUTER VISION IN HUMAN-COMPUTER INTERACTION, PROCEEDINGS, 2004, 3058 : 211 - 220

← 1 2 3 4 5 →