Result: Online personal verification by palmvein image through palmprint-like and palmvein information

Title:
Online personal verification by palmvein image through palmprint-like and palmvein information
Source:
Neurocomputing (Amsterdam). 147:364-371
Publisher Information:
Amsterdam: Elsevier, 2015.
Publication Year:
2015
Physical Description:
print, 16 ref
Original Material:
INIST-CNRS
Subject Terms:
Cognition, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Gestion des mémoires et des fichiers (y compris la protection et la sécurité des fichiers), Memory and file management (including protection and security), Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Biométrie, Biometrics, Biometría, Collecte donnée, Data gathering, Recolección dato, Filtre adapté, Matched filter, Filtro adaptado, Formation image, Imaging, Formación imagen, Fusion donnée, Data fusion, Fusión datos, Indice aptitude, Capability index, Indice aptitud, Interface utilisateur, User interface, Interfase usuario, Paume, Palm, Palma(mano), Robustesse, Robustness, Robustez, Résultat expérimental, Experimental result, Resultado experimental, Segmentation, Segmentación, Source lumineuse, Light source, Fuente luminosa, Source lumière, Light sources, Système information, Information system, Sistema información, Sécurité informatique, Computer security, Seguridad informatica, Temps réel, Real time, Tiempo real, Texture, Textura, Veine, Vein, Vena, Capabilité objet, Object-capabilities, Capabilidad objeto, Falsification, Forgery, Falsificación, Biometric authentication, Fusion, Palmprint, Palmvein, Texture coding
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen, Guangdong, China
Graduate School at Shenzhen, Tsinghua University, Shenzhen, Guangdong, China
Shenzhen Key Laboratory of Broaband Network & Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, Guangdong, China
Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Nanjing University of Science and Technology, Nanjing, Jiangsu, China
Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong-Kong
ISSN:
0925-2312
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.28836761
Database:
PASCAL Archive

Further Information

Recently, palmvein recognition has been attracting much research interest. The joint use of palmprint and palmvein features can effectively increase the accuracy, robustness of palm based biometric techniques. And, as it is an inner vessel structure feature, palmveins can increase the anti-spoof and liveness detection capability of a palm based biometric system. However, lack of techniques to separate palmveins from palmprints in one image weakens the anti-spoof and liveness detection capability. This paper presents a novel online personal verification system by fusing palmprint and palmvein information. The proposed system includes: (1) A single camera and single light source to simplify the imaging system and save data collection time; (2) A morphological palmprint erasing technique to increase the accuracy of palmvein segmentation; (3) The fusion of palmprint and palmvein information to further improve the system accuracy. The experimental results demonstrated that since palmprints and palmveins contain complementary information, much higher accuracy could be achieved by fusing them than using only one of them. In addition, the whole verification procedure can be completed within 1 s, which implies that the system can work in real time.