Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Development of Face Recognition Techniques for user Authentication
Details
The authentication for access control includes token-based identification or knowledge based identification. In token based method person should possess driving license, passport or and any other authorized identification (ID) card. In knowledge-based identification systems passwords or unique codes are used. Both these authentication methods are not safe because passport or licenses can be stolen and passwords can be hacked. So a unique and secure system is needed. Every individual possess unique biological characteristics and biometrics is related to these measureable biological traits. These are iris, fingerprint, hand, voice, palm geometry recognition and face recognition. Out of all these traits face recognition is the only trait which does not involve the active presence of a person. So these days face is the prime focus of attention. Human brain is quite intelligent to recognize faces under different conditions. But for computer system it is a difficult task. Face recognition is of two types: appearance based and feature based. In appearance based face recognition method holistic features are applied to whole face or sub regions in a face.
Autorentext
A Dra. Reecha Sharma trabalha como Professora Assistente no Departamento de ECE da Universidade de Punjabi, Patiala, Índia. Tem onze anos de experiência de ensino. Publicou mais de 60 artigos de investigação em revistas e conferências internacionais/nacionais. Orientou 23 estudantes de M.Tech e publicou 7 livros electrónicos. É membro profissional do Instituto.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783659892097
- Herausgeber LAP LAMBERT Academic Publishing
- Anzahl Seiten 156
- Genre Software
- Sprache Englisch
- Gewicht 250g
- Autor Reecha Sharma
- Größe H220mm x B150mm x T10mm
- Jahr 2016
- EAN 9783659892097
- Format Kartonierter Einband
- ISBN 3659892092
- Veröffentlichung 17.05.2016
- Titel Development of Face Recognition Techniques for user Authentication