Results 41 to 50 of about 23,921 (203)
Improved object detection approach employing adaptive padding and Viola-Jones algorithm [PDF]
PeerJ Computer ScienceIn recent years, significant advancements have been achieved in the field of object detection (OD) thanks to the rapid developments in deep learning (DL) methodologies.
Barış Dinç, Yasin Kaya
doaj +2 more sources
ADAPTIVE ALGORITHMS OF FACE DETECTION AND EFFECTIVENESS ASSESSMENT OF THEIR USE
Сучасні інформаційні системи, 2018 Subject of research is the detection and recognition of faces. The purpose of this work is creation of modified algorithms of face detection, which are providing automatic brightness stabilization of the analyzed image regardless of brightness level.
Kostiantyn Dergachov +3 more
doaj +1 more source
Bengali License Plate Detection using Viola-Jones Algorithm
International Journal of Innovative Technology and Exploring Engineering, 2019 Image classification has been a rapidly developing field over the previous decade, and the utilization of Convolutional Neural Networks (CNNs) and other deep learning techniques is developing rapidly. However, CNNs are compute-intensive. Another algorithm which was broadly utilized and keeps on being utilized is the Viola-Jones algorithm.
Ahmed Mortuza Saleque* +4 more
openaire +1 more source
Survey on Robust Object Detection [PDF]
, 2011 This poster presents a well known object detection technique, which has been used for long time. Viola-Jones approach, is a real time object detection algorithm, which is mostly used for face detection.
Abualkibash, Munther Hamad +2 more
core
Face Detection with Effective Feature Extraction [PDF]
, 2010 There is an abundant literature on face detection due to its important role in many vision applications. Since Viola and Jones proposed the first real-time AdaBoost based face detector, Haar-like features have been adopted as the method of choice for ...
C. Huang +10 more
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IET Image Processing, Volume 20, Issue 1, January/December 2026.This study presents a robust facial recognition framework based on a unified optimised feature vector that fuses handcrafted descriptors and deep learning embeddings. Using binary grey wolf optimisation for feature selection, the approach reduces redundancy while preserving discriminative power.
Farid Ayeche, Adel Alti
wiley +1 more source
A machine learning-based system for detecting leishmaniasis in microscopic images
BMC Infectious Diseases, 2022 Background Leishmaniasis, a disease caused by a protozoan, causes numerous deaths in humans each year. After malaria, leishmaniasis is known to be the deadliest parasitic disease globally. Direct visual detection of leishmania parasite through microscopy
Mojtaba Zare +12 more
doaj +1 more source
e-Prime: Advances in Electrical Engineering, Electronics and Energy, 2023 Biometric applications have massive demand in today's era. The areas of applications are mostly linked with the security of the system. Biometric features are regarded as the primary resource for security purposes due to their own distinctiveness and non-
Ankit Kumar +2 more
doaj +1 more source
Efficient Privacy Preserving Viola-Jones Type Object Detection via Random Base Image Representation
, 2017 A cloud server spent a lot of time, energy and money to train a Viola-Jones type object detector with high accuracy. Clients can upload their photos to the cloud server to find objects.
Chen, Yingya +6 more
core +1 more source
Face Detection on profile picture using Viola-Jones Algorithm
, 2023 Abstract—This project focuses on implementing a face detection algorithm on a to verify the authenticity of profile pictures uploaded by users. In order to help recruiters more properly confirm the identity of potential job seekers, it is important to make sure that every profile photo contains only one face. Because of its effectiveness and precision,
A Bilahari, Rony Tom
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