ISSN (Print) : 2320 – 3765 ISSN (Online): 2278 – 8875 International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (An ISO 3297: 2007 Certified Organization) Vol. 3, Issue 9, September 2014 10.15662/ijareeie.2014.0309054 Copyright to IJAREEIE www.ijareeie.com 12179 Color Sketch Based Image Retrieval N Raghu Ram Reddy 1 , Gundreddy Suresh Reddy 2 , Dr.M.Narayana 3 B.Tech, Department of ECE, JPNCE, Andhra Pradesh, India 1 B.Tech, Department of ECE, JPNCE, Andhra Pradesh, India 2 H.O.D, Department of ECE, JPNCE, Andhra Pradesh, India 3 ABSTRACT: This paper proposes a method of Content based image retrieval (CBIR) using color sketches, which is one of the most popular, rising research areas of the Digital image processing. The goal of CBIR is to extract visual content of an image automatically, like color, texture, or shape. The proposed method is based on free hand color sketch of image, which uses color and texture features. In this color features are extracted using HSV (Hue, Saturation and Value) color space. The HSV color space is quantified in non-equal intervals, a one dimensional feature vector is constructed and it is represented by cumulative histogram. Texture feature extraction is obtained by using gray-level co-occurrence matrix (GLCM). The combination of the color and texture features of an image provides a robust feature set for image retrieval. Euclidean distance of color and texture is used in retrieving the similar images. The image retrieval experiment indicates that the use of color and texture features in image retrieval using color sketches has obvious advantages. This paper will be very helpful in crime prevention. The proposed method has more retrieval rate than image retrieval using sketches. KEYWORDS: CBIR, GLCM, HSV, texture shape, Euclidean distance. I.INTRODUCTION The rapid growth of multimedia applications followed by the emergence of large-scale image collections has brought about the need for efficient methods for storage, browsing, indexing and retrieval of images. In the early 1990s, the Content Based Image Retrieval (CBIR) was proposed to retrieve images based on visual features (contents) of images in substitute for the traditional annotation based retrieval, since the linguistic description of image by small number of key words is very limited in comparison to the richness of image contents. The visual contents called as features, are numeric descriptors capturing specific visual characteristics. Most CBIR systems have two-step approach to retrieve images from the databases. First step is indexing: for each image in a database, feature vector is computed and stored in feature space. Second step is searching: given a query image by a user, its feature vector is computed and the system retrieves images having feature vectors that best match the query feature vector. In CBIR, image feature selection is most critical problem because it largely affects the remaining aspects of the system design and eventual capabilities of the system.Our purpose is to develop a content based image retrieval system, which can retrieve using sketches infrequently used databases. Using a sketch based system can be very Important and efficient in many areas of the life. In some cases we can recall our minds with the help of figures or drawing [7]. The SBIR systems [11] have a big significance in the criminal investigation. The identification of unsubstantial images, tattoos and graffities can be supported by these systems. Another possible application area of sketch based information retrieval is the searching of analog circuit graphs from a big database. The user has to make a sketch of the analog circuit, and the system can provide many similar circuits from the database. In this paper color sketch based image retrieval system was developed by using color features and Gray-Level Co- occurrence Matrix (GLCM). Here we are using the color and Texture Feature for retrieving of images [8]. The proposed architecture is better than SBIR [10]. In SBIR color features are not used.