Detecting cassava mosaic disease using a deep residual convolutional neural network with distinct block processing

DO Oyewola, EG Dada, S Misra… - PeerJ Computer …, 2021 - peerj.com
For people in developing countries, cassava is a major source of calories and
carbohydrates. However, Cassava Mosaic Disease (CMD) has become a major cause of …

A comparative study of suitability of certain features in classification of bharatanatyam mudra images using artificial neural network

BS Anami, VA Bhandage - Neural Processing Letters, 2019 - Springer
Bharatanatyam is an Indian classical dance, which is composed of various body postures
and hand gestures. This ancient art of dance has to be studied under the supervision of …

Classification of imbalanced multi-label leaf diseases using CaRiT: class attention enabled RegionViT

C Nikhila Nagajyothi, L Oommen… - Multimedia Tools and …, 2024 - Springer
Plant diseases, particularly leaf diseases, are one of the factors contributing to crop loss,
accounting for approximately 15-40% of the total loss in crop production. Early identification …

Geometric invariant features for the detection and analysis of vehicle

M Anandhalli, A Tanuja, P Baligar - Multimedia tools and applications, 2022 - Springer
The intelligent traffic management system (ITS) is one of the active research areas. Vehicle
detection is a major role in traffic analysis. In the paper, analysis of detecting vehicles is …

Facial Features based Recognition System using LBPH and AdaBoost

M Srivastava, K Khatiyan, P Dixit - 2024 5th International …, 2024 - ieeexplore.ieee.org
Face recognition stands as a pivotal domain within computer vision, boasting myriad
applications in security, identification, and biometrics. This research study proposes a face …

[PDF][PDF] Neural Network associated with recognition of Facial Expressions of Basic Emotions

R Khan, R Raja - Published in International Journal of Computer …, 2016 - researchgate.net
The science of image processing, helps t to recognize the human gesture for general life
applications. For example, observing the gesture of a driver when he/she is driving and …

Artificial neural network based identification of Bharatanatyam Mudra images using eigen values

BS Anami, VA Bhandage - International Journal of Applied …, 2018 - inderscienceonline.com
This paper presents a three stage methodology for identification of Mudra images of
Bharatanatyam dance. In the first stage, acquired images of Bharatanatyam Mudras are …

An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system

MKI Anik - 2015 - dspace.bracu.ac.bd
The purpose of this project is to make an efficient security system for university safety
measurement which can also be used to calculate the office hours of Student Tutors by face …

Face image database: a test-bed for evaluation and certification of facial recognition systems

F Wu, Q Xiao, TD Vo - International journal of biometrics, 2013 - inderscienceonline.com
Recently, there has been a growing interest in facial recognition technology because of its
great potential usage in tracking and finding persons of interest in public spaces. However …

[PDF][PDF] FACE RECOGNITION BLOCK BASED STATICAL DCT AND TEXTURE

AH Abouali - Journal of the ACS, 2019 - asc.journals.ekb.eg
In this study, a feature extraction methodology proposed for face recognition. Theproposed
methodology uses combined block DCT and texture feature. That is, the featureextraction …