Automated person recognition is an essential field to preserve individual privacy in
biometrics. A conventional system performs the recognition, but inaccurate detection of …

Finger-vein verification is a considerable problem to be addressed in a biometric system. A
lot of research works have been intended for finger-vein authentication with aid of diverse …

Image quality assessment (IQA) has a vital issue in image processing to measure the
perceptual quality of the image. This aims at the human visual system (HVS) by viewing for …

This paper presents a novel adaptive anisotropic diffusion filtered deep neural network
(AADF-DNN) model for achieving effective image classification with increase the accuracy …

Image classification is a major topic in image processing. Conventional algorithm had the
major drawback of vanishing gradient problem with stochastic descent algorithm; to …

Permasalahan yang dihadapi dalam identifikasi mutu kedelai hitam adalah kualitas
penilaian yang tidak konsisten dan membutuhkan waktu yang relatif lama. Penelitian ini …

In this paper, we introduce a new deep convolutional neural network based extreme
learning machine model for the classification task in order to improve the network's …

The problem faced in identifying the quality of black soybeans is that the quality of the
assessment is inconsistent and it takes a relatively long time. This study aims to determine …

The transmission of data from a source to a destination node is examined in this article.
Existing binomial logistic regression (BLR-OR) routing algorithm is employed to effectively …