Pedestrian detection and tracking in video surveillance system: issues, comprehensive review, and challenges

U Gawande, K Hajari, Y Golhar - Recent Trends in …, 2020 - books.google.com
Pedestrian detection and monitoring in a surveillance system are critical for numerous utility
areas which encompass unusual event detection, human gait, congestion or crowded …

[PDF][PDF] A state of art for survey of combined iris and fingerprint recognition systems

DM Ahmed, SY Ameen, N Omar, SF Kak… - Asian Journal of …, 2021 - researchgate.net
Biometrics is developing into a technological science in this lifelong technology for the
defense of identification. Biometrics is the technology to recognize individuals based on …

[HTML][HTML] SIRA: Scale illumination rotation affine invariant mask R-CNN for pedestrian detection

U Gawande, K Hajari, Y Golhar - Applied Intelligence, 2022 - Springer
In this paper, we resolve the challenging obstacle of detecting pedestrians with the ubiquity
of irregularities in scale, rotation, and the illumination of the natural scene images natively …

IoT-based biometric recognition systems in education for identity verification services: Quality assessment approach

M Rukhiran, S Wong-In, P Netinant - Ieee Access, 2023 - ieeexplore.ieee.org
Traditional identity verification of students based on the human proctoring approach can
cause a scam identity verification and ineffective processing time, particularly among vast …

[HTML][HTML] User acceptance factors related to biometric recognition technologies of examination attendance in higher education: TAM model

M Rukhiran, S Wong-In, P Netinant - Sustainability, 2023 - mdpi.com
Identity recognition is influenced at all educational levels by biometric technology. The
invention of facial recognition technology has added new efficiencies to the traditional …

Enhancement in speaker recognition for optimized speech features using GMM, SVM and 1-D CNN

S Nainan, V Kulkarni - International Journal of Speech Technology, 2021 - Springer
Contemporary automatic speaker recognition (ASR) systems do not provide 100% accuracy
making it imperative to explore different techniques to improve it. Easy access to mobile …

[HTML][HTML] Optimized gravitational search algorithm for feature fusion in a multimodal biometric system

FW Ipeayeda, MO Oyediran, SA Ajagbe, JO Jooda… - Results in …, 2023 - Elsevier
In recent years, multimodal biometric systems have gained significant attention due to their
capacity to enhance recognition accuracy and robustness. The integration of multiple …

Design and analysis of adaptive graph-based cancelable multi-biometrics approach

GS Walia, K Aggarwal, K Singh… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Multimodal biometric systems provide prospective advantages over traditional unimodal
systems and are employed diversely for numerous applications. However, issues of data …

[PDF][PDF] Vector learning representation for generalized speech emotion recognition

S Singkul, K Woraratpanya - Heliyon, 2022 - cell.com
Speech emotion recognition (SER) plays an important role in global business today to
improve service efficiency. In the literature of SER, many techniques have been using deep …

Deep learning approach to key frame detection in human action videos

U Gawande, K Hajari, Y Golhar - Recent trends in computational …, 2020 - books.google.com
A key frame is a representative frame which includes the whole facts of the video collection.
It is used for indexing, classification, evaluation, and retrieval of video. The existing …