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 …
Unimodal and multimodal biometric sensing systems: a review
Biometric systems are used for the verification and identification of individuals using their
physiological or behavioral features. These features can be categorized into unimodal and …
physiological or behavioral features. These features can be categorized into unimodal and …
Maintaining patient oral health by using a xeno-genetic spiking neural network
S Vellappally, A Abdullah Al-Kheraif, S Anil… - Journal of Ambient …, 2018 - Springer
Many people are affected by dental problems that have serious long-term effects. Thus, oral
hygiene maintenance is necessary to prevent dry mouth tooth decay, bad breath, and cold …
hygiene maintenance is necessary to prevent dry mouth tooth decay, bad breath, and cold …
Biometric security: A novel ear recognition approach using a 3d morphable ear model
Biometrics is a critical component of cybersecurity that identifies persons by verifying their
behavioral and physical traits. In biometric-based authentication, each individual can be …
behavioral and physical traits. In biometric-based authentication, each individual can be …
Multimodal of ear and face biometric recognition using adaptive approach Runge–Kutta threshold segmentation and classifier with score level fusion
SB Alagarsamy, K Murugan - Wireless Personal Communications, 2022 - Springer
A multimodal biometric system uses more than one biometric methods of an individual to
mitigate some of the drawbacks of a unimodal biometric system and improve accuracy …
mitigate some of the drawbacks of a unimodal biometric system and improve accuracy …
Multimodal low resolution face and frontal gait recognition from surveillance video
Biometric identification using surveillance video has attracted the attention of many
researchers as it can be applicable not only for robust identification but also personalized …
researchers as it can be applicable not only for robust identification but also personalized …
3D ear normalization and recognition based on local surface variation
Y Zhang, Z Mu, L Yuan, H Zeng, L Chen - Applied Sciences, 2017 - mdpi.com
Most existing ICP (Iterative Closet Point)-based 3D ear recognition approaches resort to the
coarse-to-fine ICP algorithms to match 3D ear models. With such an approach, the gallery …
coarse-to-fine ICP algorithms to match 3D ear models. With such an approach, the gallery …
Local and holistic feature fusion for occlusion-robust 3D ear recognition
Q Zhu, Z Mu - Symmetry, 2018 - mdpi.com
Occlusion over ear surfaces results in performance degradation of ear registration and
recognition systems. In this paper, we propose an occlusion-resistant three-dimensional …
recognition systems. In this paper, we propose an occlusion-resistant three-dimensional …
Corresponding keypoint constrained sparse representation three‐dimensional ear recognition via one sample per person
Q Zhu, Z Mu, L Yuan - IET Biometrics, 2022 - Wiley Online Library
When only one sample per person (OSPP) is registered in the gallery, it is difficult for ear
recognition methods to sufficiently and effectively reduce the search range of the matching …
recognition methods to sufficiently and effectively reduce the search range of the matching …
Uniform classifier for biometric ear and retina authentication using smartphone application
A Poosarala - Proceedings of the 2nd International Conference on …, 2018 - dl.acm.org
As biometric systems provide more reliable, efficient and secure means of identity
verification, it gains its place as a most important system. Implementing ear biometrics using …
verification, it gains its place as a most important system. Implementing ear biometrics using …