Content Based Batik Image Retrieval (CBBIR) is an area of research that focuses on image processing based on characteristic motifs of batik. Basically the image has a unique batik motif compared with ot her images. Its uniqueness lies in the characteristics possessed texture and shape, which has a unique and distinct characteristics compared with other image characteristics. To study this batik image must sta rt from a preprocessing stage, in which all its color images must be removed with a grayscale process. Proceed with the feature extraction process taking motifs characteristic of every kind of batik using the method of edge detection. After getting the charact eristic motifs seen visually, it will be calculated by using 4 texture characteristic function is the mean , energy, entropy and stadard deviation. Characteri stic function will be added as needed. The results of th e calculation of characteristic functions will be m ade more specific using the method of wavelet transform Daubechies type 2 and invariant moment. The result will be the index value of every type of batik. Bec ause each motif there are the same but have differe nt sizes, so any kind of motive would be divided into three sizes: Small, medium and large. The perfomanc e of Batik Image similarity using this method about 9 0-92%.