ABSTRACT
Drawing is assumed to be a talent in people, which makes drawing a natural process. Based on the scenario in consideration, there are times when it is necessary to assess drawing skills. In this thesis, I intend to develop an algorithm that will measure the skill of drawing by matching the hand-drawn image with the original template. The techniques that are already available make use of a complicated process. Notably, computers can be trained to identify the match at a human level which will resolve the tedious and overwhelming traditional process. Image similarity involves identifying the level of similarities in an image using a reference image; computer vision applications are used. The SIFT method and Siamese Network are analyzed and implemented to measure image similarity. The results show that it is possible to measure the skill level of an art. Via the analysis of the features, SIFT-based implementation was able to detect better than VGG16.
ABSTRACT
The study examined credit management and liquidity of manufacturing company....
ABSTRACT
The purpose of this study was to assess the knowledge and attitude of teachers towards safety and security of secondary school s...
ABSTRACT
This study was carried out to examine the effect of internal audit on the performance of private f...
EXCERPT FROM THE STUDY
Communication and business success are inseparable. To be able to attain organizational objective...
Introduction
The interest of linguists in analysing conversational texts has gradually shifted from the traditional focu...
ABSTRACT
This thesis titled “A Pragmatic Interpretation of Child Language: A Case Study of T...
ABSTRACT
The study examined the effect of risk management on business performance in Staco Insurance Plc in Lagos St...
STATEMENT OF THE PROBLEM
Many empirical studies have investigated the existence of a relationship betwe...
ABSTRACT
The aim of the study is to examine the impact of tax policy on inclusive growth in Nigeria. The ex post facto analysis design wa...
Livelihoods are an important sou...