A Survey on Advanced Text Recognition and Projection in Augmented Reality

Augmented Reality (AR) is a technology that overlays a computer-generated image on a user’s view of the real world, thus providing a combined view. Artificial Intelligence (AI) has been used in various sectors such as gaming, manufacturing, military, and law enforcement systems. With the rapid growth of augmented reality development tools and the expansion of their functionality over the years, developers have started believing that with the application of augmented reality for AI developers can create an artificial intelligence-based app that can perform all basic tasks such as adapting to different environments. The survey focuses on studying and comparing different methods and approaches of Augmented Reality and text/image identification and mapping techniques to further combine both the approaches to achieve the end goal of obtaining AR Projections from the recognized text. The process will involve the following steps which are Handwritten text Recognition and extraction using multi model CTC. Emotion and Sentiment Analysis for text mapping and recognition using BiLSTM and SENN, Image Generation using XMC-GAN and then finally converting 2D images to 3D using COLF making it ready for the final Augmented Reality projection.