Pattern Recognition System

Abstract— Choosing clothes with appropriate color and pattern is very challenging for amaurotic people. Amaurotic people are those who have partial sight due to medical reasons or lost their sight in an injury. Although, there are some automatic system for identifying clothes and patterns, still it is challenging by reason of large intraclass pattern variation. To accord with such obstacles, a Computerized Clothing and Color Recognition system is introduced. The proposed system consists of 3 components a camera, data analysis unit and speaker. The camera captures the user’s cloth, data analysis unit will identify the complex pattern and finally the results are described to amaurotic people verbally. This system is capable of recognizing 4 major

Normally sighted people use as the basis of number of everyday tasks such as matching socks, choosing between different clothes and etc. Choosing clothes with suitable colors and patterns is a challenging for amaurotic people. They manage this task with the help from family members, using plastic brakkine labels.
To overcome such problems an automatic or computerized cloth pattern recognition system for amaurotic people as been designed. This is energetic task due to many clothing pattern and color designs as well as corresponding large intraclass variations. Existing approaches mainly focus on textures with large changes in view point, orientation, and scaling but less intraclass pattern and intensity variations.
In the proposed system, a camera-based system analysis method is used to help amaurotic people for recognizing clothing patterns and colors. The system contains the following major components(Fig. 1) 1) a camera for capturing clothing images, a micro phone for speech command input and speakers (or Bluetooth, earphone) for audio output; 2) data capture and analysis unit to perform command control, clothing pattern recognition, and color identification by using a computer which can be a desktop in a user’s bedroom or a wearable computer (e.g., a mini-computer or a smart phone); and 3) audio outputs system to provide recognition results of clothing patterns and colors, as well as system

Radon transform is employed for estimating the orientation of texture patterns and Histogram equalization is performed to decrease illumination changes. For each wavelet sub images, cooccurrence matrix for gray texture analysis is calculated.
Finally, the texture matching is performed based on statistical classification which includes six features namely mean, variance, smoothness, energy, homogeneity, and entropy.
However, this system is not able to automatically recognize clothing patterns.
In all these works [2][3][4][5][6][7], the needs of blind people were considered. Existing system [5][6][7] focus on large change in viewpoint, orientation and scaling , but less with intraclass and intensity variations. The proposed system has been designed to identify the clothing pattern that has larger intraclass and intensity variations.
III. PROPOSED WORK
The proposed work is for developing an assistive system which automatically recognizes the color and cloth pattern for amaurotic people. A portable camera can be mounted upon a pair of glass to capture the cloth pattern. These images are applied through the input of wearable computer. Data