This project proposes the system which automatically recognizes clothes pattern and colors. With the help of camera the image is captured and processed to identify the pattern of the clothes which is chosen and classification is done using the support vector machine algorithm. The features of the images are obtained and extracted using three descriptors with the help of Radon Signature descriptor the statistical properties is extracted and wavelet sub bands will extract global features of clothing patterns. To recognize complex clothing patterns we combined with local features that are obtained from scale invariance feature transform. After recognizing the features the support vector machine will classify the images in order to their categories and proposed system uses the CCNY Clothing Pattern dataset and it can be an effective method for all the visually impairedpeople.