Face and Palm Identification by the Sum-Rule and Fuzzy Fusion

Abstract

Multi-Biometrics is a useful technique for the identification of a person. A person has many characteristics that help to identify him. Due to the limitations of unimodal biometrics, multimodal biometrics is being used to obtain more precise results. We propose a method for identifying individuals that integrates facial and palmprint modalities, we apply the Gaussian filter for features extraction and the Harris method for corner detection. We have calculated our result at two fusion levels matching score and decision level. Matching score calculated by the PCA classifier for the face performed on palm modalities. At the decision level, we find out the result by the sum rule fusion and fuzzy fusion that justify and show the accuracy.