The fact that signature is widely used means of person authentication emphasizes the need for automatic verification system. This paper presents a new approach for signature verification. The proposed system aims to collect representative and unique features to distinguish between digital signature images. The comparison process between testing signature and the stored signatures is optimized using Genetic Algorithm. Our experimental results give a good balance between False Acceptance Rate (FAR) and False Rejection Rate (FRR).