The present paper proposes a new approach for color fabric texture classification based on the occurrences of alphabet patterns. Generally, Patterns are identified on grey level image but the present approach identifies the patterns on RGB color image. The present approach identify the patterns on 3 color channel i.e. Red channel, Green channel and Blue channel. The present approach uses alphabet patterns using 5 pixels in 3×3 sub image. Based on the cumulative occurrences of 5 pixel alphabet patterns on 3×3 sub image, the present paper derives a user defined algorithm to classify the fabric textures into one of the four categories i.e. Silk, Woolen, Nylon and Cotton. © 2017 IEEE.