Recognition of handwritten Uyghur character based on real value Gabor energy feature
暂无分享,去创建一个
An algorithm of energy features of hand-written Uyghur character based on real value Gabor filter is presented.After filtered the image of hand-written Uyghur character,the image is divided into small pieces,the energy of each pieces is extracted.These energy values can form a energy matrix and reduce dimension as the characteristic matrix after phasor.After feature extraction,KNN classifier is used in character recognition.The samples are recognized in the database of the hand-written,Uyghur character using the method based on real value Gabor energy feature in both feature recognition and writer feature recognitition.The experimental result shows,the algorithm is simple,effective and have a remarkable recognition rate.