Knuckle print biometrics and fusion schemes--overview, challenges, and solutions

G Jaswal, A Kaul, R Nath - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
Numerous behavioral or physiological biometric traits, including iris, signature, hand
geometry, speech, palm print, face, etc. have been used to discriminate individuals in a …

Selection of optimized features for fusion of palm print and finger knuckle‐based person authentication

G Jaswal, RC Poonia - Expert Systems, 2021 - Wiley Online Library
The impact of digital technology in biometrics is much more efficient at interpreting data than
humans, which results in completely replacement of manual identification procedures in …

A multi-factor knuckle and nail bed verification tool for forensic imagery analysis

M Santopietro, R Guest, KC Seigfried-Spellar… - Child Abuse & …, 2024 - Elsevier
Background The grooming process involves sexually explicit images or videos sent by the
offender to the minor. Although offenders may try to conceal their identity, these sexts often …

Finger kunckcle patterns based person recognition via bank of multi-scale binarized statistical texture features

A Attia, M Chaa, Z Akhtar, Y Chahir - Evolving Systems, 2020 - Springer
This paper proposes a novel finger knuckle patterns (FKP) based biometric recognition
system that utilizes multi-scale bank of binarized statistical image features (B-BSIF) due to …

An efficacious matching of finger knuckle print images using gabor feature

N Bhattacharya, DK Dewangan… - ICT Based Innovations …, 2018 - Springer
An efficacious matching of 240 Finger knuckle print images using Gabor feature by
extracting position and weight with a record of 5362 values for each image. In this approach …

Finger knuckle biometric feature selection based on the FIS_DE optimization algorithm

P Jayapriya, K Umamaheswari - Neural Computing and Applications, 2022 - Springer
In recent years, the hand-based biometric system has received significant attention in
identifying a person. In the hand-based biometric, the finger knuckle print plays a vital role in …

Personal authentication based on finger knuckle print using quantum computing

AS Altaher, SMR Taha - International Journal of Biometrics, 2017 - inderscienceonline.com
The finger knuckle print (FKP) images are used for personal authentication. The proposed
model consists of pre-processing of the FKP image and then feature extraction algorithm is …

指节纹识别综述

陆劲挺, 贾伟, 叶慧, 赵洋, 闵海, 余烨, 胡戎翔 - 模式识别与人工智能, 2017 - cqvip.com
相比其它生物特征, 指节纹具有特征丰富, 采集设备价格低, 易于结合手形, 手指静脉及掌纹组成
性能鲁棒的多模态识别系统等优点. 文中首先介绍指节纹的定义, 数据采集, 预处理方法等 …

FKP based personal authentication using SIFT features extracted from PIP joint

G Jaswal, R Nath, A Kaul - 2015 third international conference …, 2015 - ieeexplore.ieee.org
Hand biometric systems have been adopted in a variety of access control application
because hands are rich with unique line, point, vein, and texture patterns which even low …

[PDF][PDF] 基于NSST 和Tetrolet 能量特征的指关节纹识别

王媛, 林森 - Laser & Optoelectronics Progress, 2021 - researching.cn
摘要针对目前指关节纹识别方法鲁棒性差的问题, 提出了一种基于非下采样的Shearlet
变换(NSST) 和Tetrolet 能量特征的指关节纹识别方法. 首先, 采用直方图均衡化调整图像的灰度 …