A new approach for extracting statistical features for palmprint matching is proposed in this paper. Palmprint matching is based on the statistical features which are extracted from the statistical parameters derived from the palmprint image. Statistical parameters: Energy, Entropy, Maximum probability, Contrast and Inverse difference moment are derived from the ROI to classify the statistical Texture in the form of feature vector.