INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS www.ijrcar.com Vol.3 Issue 9, Pg.: 108-112 September 2015 Jagsir Kaur & Manoj Kumar Page 108 INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS ISSN 2320-7345 REVIEW PAPER ON CONTENT BASED IMAGE RETRIEVAL FOR DIGITAL IMAGES Jagsir Kaur 1 , Manoj Kumar 2 1 Student Yadavindra College of Engineering Talwandi Sabo District Bathinda Punjab Pin code 151302, INDIA 2 Assistant Professor Yadavindra College of Engineering Talwandi Sabo District Bathinda, Punjab Pin Code 151302. Abstract: - Image retrieval is a very important area of digital image processing. Image can be retrieved from a large database on the basis of text, color, structure or content. Content-based image retrieval uses the visual contents of an image such as texture, color, shape, and spatial layout to represent and index the image. In typical CBIR systems, the visual content of the images in the database are extracted and described by multi-dimensional feature vectors .The feature vector of the images in the database for a feature database. To retrieve the images, users provide the retrieval system with example images. The system then changes these examples into its internal representation of feature vectors. In this paper we present the review on various content based image retrieval techniques. Keywords: CBIR, SVM, Content based Image Retrieval, Image Retrieval. Introduction Content based image retrieval is the important field of research. Content based image retrieval has gained much popularity in the last decade. CBIR system has also helped users to retrieve relevant images based on their content. It represents low level features like texture, color and shape [5]. There are two most relevant techniques. The first technique is to mine from huge amount of images alone and the second technique is to mine from the integrated collections of images and related alphanumeric data. Image Retrieval is in effect an extension of traditional information retrieval to include images. Image retrieval is the process of searching and retrieving images from a large database. As the images grow complex, retrieve the right images become a difficult problem. Content-Based Image Retrieval (CBIR), also known as query by image content (QBIC) is the process of retrieving images from a database on the basis of features that are extracted automatically from the images themselves. For the given a query image its feature vectors are computed. If the distance between features of the query image and images in the database is small, the corresponding image in the database is to be considered as a match to the query. The search is usually based on similarity rather than on exact match and the retrieval results are then ranked accordingly to a similarity index [5]. A CBIR consists of main component is feature extraction. Measures of image retrieval can be defined in terms of Precision and Recall.