A survey of 3d ear recognition techniques
Human recognition with biometrics is a rapidly emerging area of computer vision. Compared
to other well-known biometric features such as the face, fingerprint, iris, and palmprint, the …
to other well-known biometric features such as the face, fingerprint, iris, and palmprint, the …
[HTML][HTML] A comprehensive survey and deep learning-based approach for human recognition using ear biometric
Human recognition systems based on biometrics are much in demand due to increasing
concerns of security and privacy. The human ear is unique and useful for recognition. It …
concerns of security and privacy. The human ear is unique and useful for recognition. It …
Learning discriminant direction binary palmprint descriptor
Palmprint directions have been proved to be one of the most effective features for palmprint
recognition. However, most existing direction-based palmprint descriptors are hand-craft …
recognition. However, most existing direction-based palmprint descriptors are hand-craft …
A survey on dorsal hand vein biometrics
Biometrics technology is one of the most important and effective solutions for personal
authentication. In recent years, as one of the emerging biometrics technologies, dorsal hand …
authentication. In recent years, as one of the emerging biometrics technologies, dorsal hand …
Joint discriminative sparse coding for robust hand-based multimodal recognition
Multimodal biometrics recognition has recently attracted much interest for its higher security
and effectiveness compared with unimodal biometrics recognition. However, most of the …
and effectiveness compared with unimodal biometrics recognition. However, most of the …
[HTML][HTML] Deepknuckle: Deep learning for finger knuckle print recognition
Biometric technology has received a lot of attention in recent years. One of the most
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …
prevalent biometric traits is the finger-knuckle print (FKP). Because the dorsal region of the …
Deep learning-driven palmprint and finger knuckle pattern-based multimodal Person recognition system
Biometric recognition systems are widely being used in several applications due to its
distinctiveness and reliability. In recent years, hand-based person recognition has received …
distinctiveness and reliability. In recent years, hand-based person recognition has received …
[HTML][HTML] Person identification from fingernails and knuckles images using deep learning features and the Bray-Curtis similarity measure
In this paper, an approach that makes use of knuckle creases and fingernails for person
identification is presented. It introduces a framework for automatic person identification that …
identification is presented. It introduces a framework for automatic person identification that …
Hand-based multimodal biometric fusion: A review
Over the past few decades, hand-based multimodal biometrics systems have achieved
significant attention because of their high security, accuracy, and anti-counterfeiting. Various …
significant attention because of their high security, accuracy, and anti-counterfeiting. Various …
Contactless biometric identification using 3D finger knuckle patterns
Study on finger knuckle patterns has attracted increasing attention for the automated
biometric identification. However, finger knuckle pattern is essentially a 3D biometric …
biometric identification. However, finger knuckle pattern is essentially a 3D biometric …