Enhanced multimodal biometric recognition systems based on deep learning and traditional methods in smart environments

S A. El_Rahman, AS Alluhaidan - Plos one, 2024 - journals.plos.org
In the field of data security, biometric security is a significant emerging concern. The
multimodal biometrics system with enhanced accuracy and detection rate for smart …

Multimodal biometric systems based on different fusion levels of ECG and fingerprint using different classifiers

SA El_Rahman - Soft Computing, 2020 - Springer
Multimodal biometric system can be accomplished at different levels of fusion and achieve
higher recognition performance than the unimodal system. This paper concerned to study …

[PDF][PDF] A short review on machine learning techniques used for fingerprint recognition

J Yadav, ZA Jaffery, L Singh - J Crit Rev, 2020 - researchgate.net
In all biometric traits, a fingerprint is considered as a foremost trait due to its high security
level, reliability, universality, uniqueness, robustness, low costs, and user convenience. Due …

New approach for fingerprint recognition based on stylometric features with blockchain and cancellable biometric aspects

A Elsadai, S Adamović, M Šarac, M Saračević… - Multimedia Tools and …, 2022 - Springer
Applying machine learning techniques and methods in biometric recognition has gained
significant attention in recent years as it can provide a better performance, high accuracy …

Selection and extraction of optimized feature set from fingerprint biometrics-a review

S Preetha, SV Sheela - … on Green Computing and Internet of …, 2018 - ieeexplore.ieee.org
Fingerprint plays a vital role in biometric authentication. Fingerprint is a biometric method
that is used to recognize people and authenticate. The various features extracted are ridges …

Peningkatan Kualitas Citra Sidik Jari Kotor Mengunakan Gabor Filter dan Learning Vector Quantization (LVQ)

M Devegi, RT Untari, H Kurniawan - Journal of Computer Science …, 2023 - jurnal.ulb.ac.id
A fingerprint recognition system aims to identify individuals. The main challenge in
fingerprint recognition is the low quality of the images. This low quality can be attributed to …

تكييف خوارزمية النحل مع مستخرج الأنماط الشامل لتحسين عملية المطابقة لبصمات الأصابع

إبراهيم عمر الشامي, مرح باسم علي - مجلة العلوم الهندسية و تكنولوجيا …, 2024‎ - journals.ajsrp.com
تعتبر بصمات الأصابع معرف حيوي حاسم للتحقق من هويات الأفراد، خاصة في سياق تطوير أنظمة
التعرف التلقائي على بصمات الأصابع. تتناول هذه الدراسة الحاجة الملحة لتعزيز دقة مطابقة …

تكييف خوارزميةالنحل مع مستخرج األنماطالشامل لتحسين عمليةاملطابقة لبصمات األصابع.

إبراهيم عمر الشا, مرح باسم عل - Journal of Engineering …, 2024‎ - search.ebscohost.com
Fingerprints serve as a crucial biometric identifier for verifying individual identities,
particularly in the context of developing automatic fingerprint recognition systems. This study …

Peningkatan Kualitas Citra Sidik Jari dengan Algoritma Minutiae Extraction dan Learning Vector Quantization

J Santony, R Devita, AF Hadi, RH Zain - Jurnal Teknologi Informasi dan …, 2020 - neliti.com
Fingerprint recognition system aims to identify someone. The main obstacle in recognizing a
person's fingerprints is that the image has a low quality. The quality is caused by the type of …

Minutea Object Extraction in Fingerprint Image Using Morphological Methods and Gabor Filters (Ekstraksi Objek Minutea Pada Citra Sidik Jari Dengan Metode …

J Santony - Jurnal KomtekInfo, 2020 - jkomtekinfo.org
Minutiae is part of the fingerprint, which is the point where the fingerprint line stops or
branches, which can be observed by scanning at a resolution of 500 pp. a fingerprint has …