Clothing Pattern Recognition for Blind using SURF and combined GLCM, Wavelet

Recognizing clothing pattern and color is challenging assignment for blind person. The system to take care of this issue is proposed here. Using HSV (hue, saturation and value) color space, dominant color in clothing image is identified. To recognise the clothing pattern SURF (speedup robust features) and features extracted by applying GLCM (gray level co-occurrence matrix) on image sub band obtained after DWT (discrete wavelet transform) are used. Recognised cloth pattern and color are conveyed verbally to user. Proposed work increases the clothing pattern recognition accuracy.