Paper Contents
Abstract
ABSTRACT Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs and take actions or make recommendations based on that information. If AI enables computers to think, computer vision enables them to see, observe and understand. Computer vision works much the same as human vision, except humans have a head start. Human sight has the advantage of lifetimes of context to train how totell objects apart, how far awaythey are, whether they are moving and whether there is something wrong in an image. Computer vision trains machines toperform these functions, but it has to do it in much less time with cameras, data and algorithms rather than retinas, optic nerves and a visual cortex. Because a system trained to inspect products or watch a production asset can analyze thousands of products processes a minute, noticing imperceptible defects or issues, it can quickly surpass human capabilities. The Synthetic Data Generation of Cheque Leaf project aims to develop a system for generating realistic and accurate synthetic cheque dataset for use in training machine learning models. The system will use a combination of computer vision techniques and deep learning algorithms to train Synthetic data generation algorithm using cheque images to generate dataset with a high degree of variability in terms of features. Keywords: Computer Vision, Synthetic data, cheque leaf.
Copyright
Copyright © 2023 RITHICK R. This is an open access article distributed under the Creative Commons Attribution License.
