Andere Kunden interessierten sich auch für
![MULTIMODAL BIOMETRIC AUTHENTICATION SYSTEM]( "MULTIMODAL BIOMETRIC AUTHENTICATION SYSTEM")
MULTIMODAL BIOMETRIC AUTHENTICATION SYSTEM39,99 €![Gait Based Human Identity Recognition]( "Gait Based Human Identity Recognition")
Gait Based Human Identity Recognition40,99 €![Autenticação peri-ocular baseada em FEM]( "Autenticação peri-ocular baseada em FEM")
Autenticação peri-ocular baseada em FEM26,99 €![Implementation Of Authentication In E-Governance¿an Uml Based Approach]( "Implementation Of Authentication In E-Governance¿an Uml Based Approach")
Implementation Of Authentication In E-Governance¿an Uml Based Approach32,99 €![Hybrid Cryptography Model based on Authentication, Integrity & Privacy]( "Hybrid Cryptography Model based on Authentication, Integrity & Privacy")
Hybrid Cryptography Model based on Authentication, Integrity & Privacy26,99 €![Novel Approach for Biometric Based Remote User Authentication System]( "Novel Approach for Biometric Based Remote User Authentication System")
Novel Approach for Biometric Based Remote User Authentication System26,99 €![ECC based Authentication Scheme for Wireless Sensor Networks]( "ECC based Authentication Scheme for Wireless Sensor Networks")
ECC based Authentication Scheme for Wireless Sensor Networks55,99 €
Periocular structure, a sub-region of face is characterized by spatial content with an ability to authenticate in non-intrusive civic E/M commerce surveillance applications. The current paper proposes a novel biometric authentication technique by utilizing geometric properties enduring periocular region. Major portion of existing periocular pattern recognition methods is based on skin texture global information. The proposed approach quantifies periocular shape in ways that e ectively find perceptually similar images in the database. The proposed work is an enhancement over state-of-art method which achieves low dimensional local periocular pattern data preserved on high dimensional non-linear plane. Periocular surface is discretized by triangular mesh cornered on natural edges. Laplace-Beltrami eigen spectrum derived over the mesh using cotangent weighted Finite Element Method (FEM) implementation is implicitly compared to achieve periocular region shape based authentication.