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Key Details of Multimodal Biometric Recognition
- Get Matlab source code to recognize individuals' biometric traits.
- Last updated on
- Virus scan status:
Clean (it’s extremely likely that this software program is clean)
Developer’s Description
We have developed a multimodal biometric system that efficiently combines fingerprint, iris and palmprint recognition. Extracted features are combined and a final score is computed for classification. Code has been tested with CASIA Iris Image Database Version 1.0 and CASIA Palmprint Image Database. Fingerprint database used in our experiments was a collection of fingerprint images taken with an UPEK swipe fingerprint reader with capacitive sensor and USB 2.0 connection. Database is 16 fingers wide and 8 impressions per finger deep (totally 128 fingerprints). Other biometric modalities are available on request.
Used Multimodal Biometric Recognition for Windows? Share your experience and help other users.
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