An interdisciplinary forensic approach for human remains identification and missing persons investigations
A Dahal, D McNevin, M Chikhani… - Wiley Interdisciplinary …, 2023 - Wiley Online Library
The resolution of unidentified human remains (UHR) and long‐term missing persons (LTMP)
cases is paramount for administrative, legal, and humanitarian reasons. There are various …
cases is paramount for administrative, legal, and humanitarian reasons. There are various …
[HTML][HTML] Multiview-learning-based generic palmprint recognition: A literature review
Palmprint recognition has been widely applied to security authentication due to its rich
characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …
characteristics, ie, local direction, wrinkle, and texture. However, different types of palmprint …
Towards open-set touchless palmprint recognition via weight-based meta metric learning
Touchless biometrics has become significant in the wake of novel coronavirus 2019 (COVID-
19). Due to the convenience, user-friendly, and high-accuracy, touchless palmprint …
19). Due to the convenience, user-friendly, and high-accuracy, touchless palmprint …
Few-shot learning for palmprint recognition via meta-siamese network
Palmprint is one of the discriminant biometric modalities of humans. Recently, deep learning-
based palmprint recognition algorithms have improved the accuracy and robustness of …
based palmprint recognition algorithms have improved the accuracy and robustness of …
Deep distillation hashing for unconstrained palmprint recognition
Deep palmprint recognition has become an emerging issue with great potential for personal
authentication on handheld and wearable consumer devices. Previous studies of palmprint …
authentication on handheld and wearable consumer devices. Previous studies of palmprint …
Palmprint-palmvein fusion recognition based on deep hashing network
Palmprint has attracted increasing attention due to its several advantages in the biometrics
field. Deep learning has achieved remarkable performance in the computer vision area, so a …
field. Deep learning has achieved remarkable performance in the computer vision area, so a …
PKLNet: Keypoint localization neural network for touchless palmprint recognition based on edge-aware regression
The usage of touchless palmprint recognition (PPR) increases due to its acceptant
interaction mode. However, the region of interest (ROI) localization at a distance is quite …
interaction mode. However, the region of interest (ROI) localization at a distance is quite …
Towards cross-dataset palmprint recognition via joint pixel and feature alignment
Deep learning-based palmprint recognition algorithms have shown great potential. Most of
them are mainly focused on identifying samples from the same dataset. However, they may …
them are mainly focused on identifying samples from the same dataset. However, they may …
[HTML][HTML] 生物特征识别学科发展报告
孙哲南， 赫然， 王亮， 阚美娜， 冯建江， 郑方， 郑伟诗… - 2021 - cjig.cn
摘要从手机解锁, 小区门禁到餐厅吃饭, 超市收银, 再到高铁进站, 机场安检以及医院看病, 人脸,
虹膜和指纹等生物特征已成为人们进入万物互联世界的数字身份证. 生物特征识别赋予机器自动 …
虹膜和指纹等生物特征已成为人们进入万物互联世界的数字身份证. 生物特征识别赋予机器自动 …
Prototype correction via contrastive augmentation for few-shot unconstrained palmprint recognition
Unconstrained Palmprint Recognition (UPR) shows engaging potential owing to its high
hygiene and privacy. The unconstrained acquisition usually produces wide variations …
hygiene and privacy. The unconstrained acquisition usually produces wide variations …