A method of texture recognition and tactile representation using a new texture detection device based on the process of finger tips sensing object is presented.The collected texture information is extracted by principal component analysis（PCA）dimension reduction

and a multi-layer perception（MLP）neural network is built to classify 6 texture signals

with the recognition rate as high as 98.8 %.On this basis

the normal distribution vibration model is used to represent the texture tactility based on the statistical properties of the collected data

and using sliding window to modify mechanics model dynamically in order to strengthen the local texture feature.Through the comparison experiment

the algorithm in this paper is better than the traditional algorithm based on image information in the representation of fine texture such as cloth.