A Novel Palmprint Recognition System based on GIST and ELM

The biometric security systems are at limelight recently. Palmprint recognition is a strong security solution and has gained substantial interest. This paper aims at recognizing the palmprint by utilizing several features and Extreme Learning Machine (ELM) is employed as the classifier. The palmprint images are acquired and preprocessed. The preprocessing phase converts the original palmprint image into binary format. The feature extraction is the next significant phase of this work and this is accomplished by GIST descriptors. The final step is the classification, which aims at effective recognition of palmprints. This work employs ELM as the classifier. The experimental outcome of the proposed work is satisfactory and is evident through the results.