International Journal of Engineering and Techniques -Volume 4, Issue 5, Sept - Oct 2018 ISSN: 2395-1303 http://www.ijetjournal.org Page 135 A Roomy Survey on Content Based Image Retrieval Dr. Ruksar Fatima 1 , Prof. Feroza. D. Mirajkar 2 , Prof.Vinay C Warad 3 , Prof. Sameena Sarwath 4 1 vice-principal and head of Department of computer science and Engineering 2,Department of Electronics and communication Engineering 3,Department of Computer Science and Engineering, 4 Department of Electronics and instrumentation Engineering , 1,2,3,4 Khaja Banda Nawaz of Engineering, Kalaburagi I. INTRODUCTION CBIR (Content based image retrieval) is the software system for retrieving the images from the database by using their features. In CBIR technique, the images are retrieved from the dataset by using the features like color, text, shape, texture and similarity. Object recognition technique is used in CBIR. Research on multimedia systems and content-based image retrieval is given tremendous importance during the last decade. The reason behind this is the fact that multimedia databases deal with text, audio, video and image data, which are of prime interest in web and other high end user applications. Content-based Image retrieval deals with the extraction of knowledge, image data relationship, or other patterns not explicitly stored in the images. It uses methods from computer vision, image processing, image retrieval, data retrieval, machine learning, database and artificial intelligence. Rule retrieval has been applied to large image databases. A vast amount of image data such as satellite images, medical images, and digital photographs, if analyzed can reveal useful information to the human users. Unfortunately, it is difficult or even RESEARCH ARTICLE OPEN ACCESS Abstract: The extent of images or the pictorial evidence is growing day by day with the expansion of internet services. As the network and development of multimedia technologies are becoming more attractive, users are not contented with the traditional information retrieval techniques. So nowadays the content based image retrieval is becoming a dawn of exact and fast retrieval. It is very difficult for the users to retrieve the required images using a usable and efficient Contrivance. There are many techniques which are used to retrieve the images depending upon the prerequisite of different applications. This paper provides an roomy review of various latest research work and methodologies applied in the field of CBIR. Images are retrieved on the basis of automatically derived features such as, shape, color and texture which is generally referred to as Content-Based Image Retrieval (CBIR). Content based image retrieval is an interesting research area in image processing, with a vast domain of applications like recognition systems i.e. finger, face, biometrics, medical sciences etc. However, the technology still has scarcity of maturity, and is not yet being used on a momentous scale. In the truancy of hard substantiation on the effectiveness of CBIR techniques in practice, judgment is still sharply divided about their usefulness in handling real-life queries in large and diverse image collections. Keywords — Region Based Image Retrieval (RBIR), Subspace learning based Techniques, CBIR