An Image Retrieval System Based on Textual Information and Features

In today's world as there is a rapid growth of digitalization, searching and retrieving of relevant images from large datasets efficiently and accurately is challenging. There are two Image Retrieval Methods. These are Text-Based Image Retrieval and Content-Based Image Retrieval. In this manuscript, we are going to implement both of these methods together to retrieve similar restaurant images of the same name and belonging to either the same franchise or having the same features as the query image. CBIR can be used to identify images of similar color and features from dataset to given query image and OCR is used to identify the textual information present on images. For more accurate results we are adding a phonetic-based Fuzzy string matching algorithm to improve the efficiency of OCR as the names of restaurants may not always be in a formal style.