50 years of biometric research: Accomplishments, challenges, and opportunities

AK Jain, K Nandakumar, A Ross - Pattern recognition letters, 2016 - Elsevier
Biometric recognition refers to the automated recognition of individuals based on their
biological and behavioral characteristics such as fingerprint, face, iris, and voice. The first …

A review of biometric technology along with trends and prospects

JA Unar, WC Seng, A Abbasi - Pattern recognition, 2014 - Elsevier
Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …

An embarking user friendly palmprint biometric recognition system with topnotch security

S Balakrishnan, K Venkatesan… - 2021 5th International …, 2021 - ieeexplore.ieee.org
The rapid and widespread development of Information Technology results in a tremendous
need for the development of reliable, safe and secure identification of individuals …

Androzoo: Collecting millions of android apps for the research community

K Allix, TF Bissyandé, J Klein, Y Le Traon - Proceedings of the 13th …, 2016 - dl.acm.org
We present a growing collection of Android Applications collected from several sources,
including the official Google Play app market. Our dataset, AndroZoo, currently contains …

Trainable COSFIRE filters for vessel delineation with application to retinal images

G Azzopardi, N Strisciuglio, M Vento, N Petkov - Medical image analysis, 2015 - Elsevier
Retinal imaging provides a non-invasive opportunity for the diagnosis of several medical
pathologies. The automatic segmentation of the vessel tree is an important pre-processing …

Performance comparison of intrusion detection systems and application of machine learning to Snort system

SAR Shah, B Issac - Future Generation Computer Systems, 2018 - Elsevier
This study investigates the performance of two open source intrusion detection systems
(IDSs) namely Snort and Suricata for accurately detecting the malicious traffic on computer …

Feature extraction methods for palmprint recognition: A survey and evaluation

L Fei, G Lu, W Jia, S Teng… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …

Surveying the development of biometric user authentication on mobile phones

W Meng, DS Wong, S Furnell… - … Surveys & Tutorials, 2014 - ieeexplore.ieee.org
Designing reliable user authentication on mobile phones is becoming an increasingly
important task to protect users' private information and data. Since biometric approaches can …

Dual-source discrimination power analysis for multi-instance contactless palmprint recognition

L Leng, M Li, C Kim, X Bi - Multimedia tools and applications, 2017 - Springer
Due to the benefits of palmprint recognition and the advantages of biometric fusion systems,
it is necessary to study multi-source palmprint fusion systems. Unfortunately, the research on …

Mobilenet convolutional neural networks and support vector machines for palmprint recognition

A Michele, V Colin, DD Santika - Procedia Computer Science, 2019 - Elsevier
Due to the ease of handling with low resolution images, low cost hardware and high
recognition accuracy, palmprint recognition has been attracting in the recent years. Many …