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 …

Security, reliability, and performance assessment for healthcare biometrics

R Kashyap - Design and Implementation of Healthcare Biometric …, 2019 - igi-global.com
A health system comprises, all things considered, individuals and activities whose essential
purpose is to advance, reestablish, or look after wellbeing. This incorporates endeavors to …

Multi-modal compound biometric feature set security and person authentication using cancelable 2D color barcode pattern generation technique

DR Rachapalli, HK Kalluri - International Journal of Information …, 2022 - Springer
This paper introduces the concept of two-dimensional (2D) color barcode, also known as
color quick response (QR) pattern generation, and integration as an automatic method to …

Biometric recognition robust to partial and poor quality fingerprints using distinctive region adaptive SIFT keypoint fusion

M Hendre, S Patil, A Abhyankar - Multimedia Tools and Applications, 2022 - Springer
Quantity and the quality of detected discriminating features is very important in any
recognition system. In minutia based fingerprint matching techniques, the performance …

Dynamic handwritten signature and machine learning based identity verification for keyless cryptocurrency transactions

V Jain, G Chaudhary, N Luthra, A Rao… - Journal of Discrete …, 2019 - Taylor & Francis
In this paper we propose a novel system for identity verification by amalgamating online
signature verification, machine learning, IOT and blockchain to garner their potentials to …

Accuracy enhancement of biometric recognition using iterative weights optimization algorithm

PD Deshpande, P Mukherji, AS Tavildar - EURASIP Journal on …, 2019 - Springer
A new approach is proposed to quantitatively evaluate the binary detection performance of
the biometric personal recognition systems. The importance of correlation between the …

Robust pedestrian detection using scale and illumination invariant Mask R-CNN

U Gawande, K Hajari, Y Golhar - International Journal of …, 2022 - inderscienceonline.com
In this paper, we address the challenging difficulty of detecting pedestrians with variation in
scale and the illumination of the images. Occurrences of pedestrians with such variations …

Hybrid feature extraction MFCC and feature selection CNN for speaker identification using CNN: a comparative study

AH Abdulqader, SAR Al-Haddad… - … on Emerging Smart …, 2022 - ieeexplore.ieee.org
Speaker Identification is known as the technology that enables users to access a device by
speaking into the microphone and detecting the present talker among a group of speakers …

Scale invariant mask r-cnn for pedestrian detection

UH Gawande, KO Hajari, YG Golhar - … letters on computer vision and image …, 2020 - raco.cat
Pedestrian detection is a challenging and active research area in computer vision.
Recognizing pedestrianshelps in various utility applications such as event detection in …

Multi-modal aesthetic system for person identification

B Sieu, M Gavrilova - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Aesthetic preference can be described as one's taste or fondness for a particular subject.
This information has become ubiquitous as online communities and social media have …