An Image Recognition Method Using Multi-features

For recognizing the objects in the image, the existing image recognition methods only can identify certain kinds of objects in the image recognition field and the recognition rate is also not high. This paper proposes an image recognition method which is based on shape feature and texture feature. This method divides the objects images into two types, foreground images and background images. Then extract shape features to foreground images and extracted texture features to background images. Finally match the extracted features with corresponding established feature library. This method uses Mahalanobis distance to match the objects in the images. Experiment results have proved that this method not only can identify several different kinds of objects but also has a good recognition rate.