Enhancing Object Recognition with YOLO and OCR Fusion

It is getting difficult to manage and derive relevant information from the growing amount of available data. The problem involves accurately identifying book titles among various text types and generating concise yet informative summaries to capture the essence of each title. Challenges include handling ambiguous titles, adapting summarization techniques to diverse literary genres. This research work will deal with the increasing difficulty of effectively summarizing and comprehending book content, with a special emphasis on automatically identifying and summarizing books based only on their titles. New methodology is provided that takes advantage of the complementary abilities of optical character recognition (OCR) for text extraction and “You Only Look Once” (YOLO)for object recognition. The integration of these two powerful techniques aims to enable intelligent cognitive tasks, including automated summary generation. The aim of this proposed work is to develop a technique that seamlessly integrates YOLO and OCR, contributing to advancements in natural language processing. The successful implementation of this methodology will hold promise for enhancing interactions with books and discovering new literature in a rapidly evolving digital landscape.