Abstract
Personal recognition through hand-based biometrics has attracted the interest of many researchers in the last twenty years. A significant number of proposals based on different procedures and acquisition devices have been published in the literature. However, comparisons between devices and their interoperability have not been thoroughly studied. This paper tries to fill this gap by proposing procedures to improve the interoperability among different hand biometric schemes. The experiments were conducted on a database made up of 8,320 hand images acquired from six different hand biometric schemes, including a flat scanner, webcams at different wavelengths, high quality cameras, and contactless devices. Acquisitions on both sides of the hand were included. Our experiment includes four feature extraction methods which determine the best performance among the different scenarios for two of the most popular hand biometrics: hand shape and palm print. We propose smoothing techniques at the image and feature levels to reduce interdevice variability. Results suggest that comparative hand shape offers better performance in terms of interoperability than palm prints, but palm prints can be more effective when using similar sensors.
Highlights
Our society has always placed great emphasis on maintaining the privacy of confidential information
The first experiments evaluate the performance of each features approach with every biometric device
The results in terms of Equal Error Rate (EER) are shown in Tables 4 and 5; Table 4 displays the results for finger geometry features without smoothing while Table 5 shows the results for global appearance features
Summary
Our society has always placed great emphasis on maintaining the privacy of confidential information. The main biometric systems measuring physical features are based on finger print, face, hand-shape, palm print and iris recognition. The reliability of hand shape and palm print biometrics is high enough to be used in realistic and low cost environments. These systems allow researchers to use different hand traits available with just one shot and even to combine them without any additional hardware cost. The scientific community has presented a large variety of different biometric systems based on hand shape and palm prints. Their proposals can be classified according to different biometric considerations. Working with interoperable procedures reduces technological dependences between users, models and systems and allows companies to upgrade their biometric devices without the cost of repeated enrolment of all the users
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