A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
A single-sensor hand geometry and palmprint verification system
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Personal authentication using finger vein pattern and finger-dorsa texture fusion
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Palm vein biometrics based on infrared imaging and complex matched filtering
Proceedings of the 12th ACM workshop on Multimedia and security
Personal recognition using hand shape and texture
IEEE Transactions on Image Processing
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This paper presents a design of PC-based multimodal biometric system, where palm blood vessels and palm prints are used as the biometric parameters. Image acquisition is based on dual spectrum illumination of the palm. By using near infrared light the image of blood vessels can be obtained and using the visible light the pattern of palm print can be captured. Images are processed using gradient filtering and complex matched filtering. After filtering, most significant features from the image are extracted as a vector set, and compared later in the recognition stage. Database of palm print and blood vessel images of 50 persons have been developed for experimental evaluation. The fusion approach of the two parameters is discussed and experimental results are presented.