Personal Authentication using Hand Images
The palmprint and hand geometry images can be extracted from a hand image in a single shot at the same time. Unlike other multibiometrics systems (e.g., face and fingerprint, voice and face, etc.), a user does not have to undergo the inconvenience of passing through multiple sensors. Furthermore, the fraud associated with fake hand, in hand geometry based verification system, can be checked with the integration of palmprint features. This work presents a new method of personal authentication using palmprint and hand geometry features that are simultaneously acquired from a single hand image. The palmprint and handshape images are used to extract salient features and are then examined for their individual and combined verification performances. The image acquisition setup used here is inherently simple and it does not employ any special illumination nor does it use any alignment pegs to cause any inconvenience to the users. The experimental results on an image database constructed using 100 users confirm the utility of combining hand geometry features with those from palmprints using a simple image acquisition setup.
Figure 1: The block diagram of proposed authentication system using hand images.
Figure 2: Acquisition of a typical hand image using digital camera using a simple image setup.
Figure 3: Extraction of two biometric modalities from the hand image.
Figure 4: Extraction of palmprint features from the region of interest.
Figure 5: Hand geometry features extracted from the hand shape image extracted in figure 3.
Figure 6: Distribution of Genuine and Imposter scores from the two biometric.
Figure 7: Comparative performance of palmprint and hand geometry features at decision level fusion.
Figure 8: Some poor quality images acquired from the image acquisition setup, which were later marked as of poor quality.
Figure 9: Comparative performance of two fusion schemes on 472 test images.
Figure 10: Distribution of two classes of matching scores from 472 test images.