A New Content-Based Search Mechanism for Image Retrieval Search Engine

In the growing world of technology, where everything is available in just one click, the user expectations have increased with time. In the era of search engines, where Google and Yahoo are providing the facility to search through text and voice and image, it has become a complex work to handle all the operations, and a lot more data storage is needed. It is also a time-consuming process. In the proposed image retrieval search engine, the user enters the queried image and that image is being matched with the template images. The proposed approach takes the input image with 15% accuracy to 100% accuracy to retrieve the intended image by the user. But it is found that due to the efficiency of the applied algorithm, in all cases, the retrieved images are with the same accuracy irrespective of the input query image accuracy. This implementation is very useful in the fields of forensics, defense, and diagnostics systems in the medical field.