Notice of RetractionTwo Models Multimodal Biometric Fusion Based on Fingerprint, Palm-Print and Hand-Geometry

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

This paper addresses two multimodal biometric verification system models based on fingerprint, palm-print and hand-geometry, whose features can be extracted from the human hand. For one fusion modal, the verification process is organized as follows: image capture; processing; sub-images extraction; five fingerprints classification by SVM and extracting palm-print and hand-geometry features; matching score normalization; fusion at matching score level by SVM too, finally a decision made. For the other, wavelet transform to extract the features from fingerprint and palm-print is used and hand-geometry feature (such as width and length) is extracted after the pre-processing phase. Feature fusion and mach score fusion are together employed to establish identity; the two systems were tested on a database of 100 persons and the experimental results indicate the second modal is better than the first one, and demonstrate the two models are of possibility.