Crevice is a serious defect on wood surface which influences the process and usage of wood seriously. However, the mineral streak of the crevice on wood surface is similar. Hence, how to identify the crevice texture accurately is an urgent problem to be solved. A detection method based on texture ridge line features fusion is proposed. Firstly, the basic model of extracting texture ridges line grayscale characteristic and shape feature is formulated. Secondly, all wood surface texture regions are segmented and the strip texture is extracted according to the fuzzy rules, including crevice and the mineral streak. Finally, these two ridge line features of striped texture are extracted by the model established. The composite discriminant factor is obtained through feature information fusion. The crevice is identified by analyzing the relationship of fusion result and the predetermined threshold value. The proposed method is evaluated by the selfbuilt atlas. The experimental results show that the Equal Error Rate (EER) of crevice defection is 4.64%. Compared with the other classical feature extraction and texture recognition methods, the EER of the proposed method is decreased by 10.06% at least. The efficiency and the practical application value of this method is proved.