Abstract
Devices and systems secured by biometric factors became a part of our lives because they are convenient, easy to use, reliable, and secure. They use information about unique features of our bodies in order to authenticate a user. It is possible to enhance the security of these devices by adding supplementary modality while keeping the user experience at the same level. Palm vein systems are based on infrared wavelengths used for capturing images of users’ veins. It is both convenient for the user, and it is one of the most secure biometric solutions. The proposed system uses IR and UV wavelengths; the images are then processed by a deep convolutional neural network for extraction of biometric features and authentication of users. We tested the system in a verification scenario that consisted of checking if the images collected from the user contained the same biometric features as those in the database. The True Positive Rate (TPR) achieved by the system when the information from the two modalities were combined was 99.5% by the threshold of acceptance set to the Equal Error Rate (EER).
Highlights
Biometrics is a technique of authorization and recognition based on many characteristics of a human body and behavior that are unique and that can be used for distinguishing one subject from another
We have constructed a multimodal biometric system which uses palm images that are taken in the UV and Near Infrared (NIR) ranges during the same examination which is a unique feature
We focus on feature extraction techniques using convolutional neural networks for both IR and UV palm images without a very specific preprocessing that would extract the features in a deterministic way like it is done, for instance, using vein filters
Summary
Biometrics is a technique of authorization and recognition based on many characteristics of a human body and behavior that are unique and that can be used for distinguishing one subject from another. The user does not have to remember complicated passwords that are advised to be changed from time to time. Users tend to use the same password for many sites or to use ones that are simple so they can memorize them. If a complicated password is required, people often write it down for the sake of convenience and it becomes vulnerable to theft [1]. Biometric authorization methods are superior compared to the aforementioned issues. The user does not have to remember any passwords and will never lose them due to the fact that the authorization key is bound to the particular body [2]. There is always a risk of a leak of the database of users’
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
