Provided by: International Journal of Computer Applications
Multimodal biometric systems have been widely used to overcome the limitations of unimodal biometric systems and to achieve high recognition accuracy. Among various multimodality options, fingerprint and finger vein has gained much attention among researchers to combine accuracy, universality and cost efficiency of the solution. This paper proposes a survey of multimodal fingerprint and finger vein recognition techniques. Most of the existing work is systematically described and compared in five parts, i.e., fingerprint and finger vein image acquisition, preprocessing, feature extraction, feature matching and fusion. According to the available work in literatures and commercial utilization experiences, fingerprint and finger vein multimodality ensures higher performance and spoofing resistance. This multimodal technology has reached an unparalleled level of security, accuracy and performance.