Multimodal Biometrics System Based on Sliding Neighborhood Operation, FAST Features, Region Properties

The multimodal biometric systems becomes more popular nowadays. The multiple biometric are combined to avoid the problems such as noisy sensor data, non-universality, poor security,etc. In this paper, fingerprint, palm-print andhand-geometry are combined for person identityverification. All the three biometrics collected from the sameimage. The sliding neighborhoodoperations for feature extraction of fingerprint, FAST algorithm for palm-print and region properties for hand-geometryfeature extraction thepre-processing phase. The feature level fusion is usedfor identification. Thesystem was tested on a database of 7 subjects. The better recognition ate is achieved with this multimodal biometrics system. Multimodal, 3 * 3 Sliding Neighborhood operation, FAST features, Region properties, Euclidean.