Abstract
A biometric system is basically a system of image recognition that uses bio metric characteristics to identify individuals. The thesis introduces a biometric multimodal system that is based on iris-based Palm Print verification and fusion. We suggest an approach to extracting features from each modality using four-level decomposition of the wavelet packet. It includes 256 packets capable of generating a simple binary code. Dictate standardized thresholds based on the first three highest energy peaks that would impact 0 or 1 for each wavelet packet. Specific fusion approaches were evaluated at different levels: character level, score level and error level. Its first fusion is an iris and palm print application, actually. For matching ratings the next one uses a weighted sum law. The next applies to the Hamacher t-norm's deficiencies. The standard database is used for testing the program proposed. The current approach and then each fusion method was checked for The consistency about the database of Casia iris merged with the database of Casia palm print. With each fusion process, the proposed solution to the multimodal biometric system achieves an increase in identification.
Highlights
The biometrics system works to identify individuals
We present a single algorithm for each biometric modality that allows primitives to be extracted and these traits to be fused at different levels: feature, score and decision
A point of the whole work was to investigate the blend of iris and palm printing attributes, and subsequently accomplish the best yield that couldn't be accomplished with a solitary biometric indicator alone
Summary
The biometrics system works to identify individuals. Multimodal biometric systems provide additional information that improves accuracy recognition quality by compensating for the limitations of single biometrics. Two biological features are of interest to us: iris and identity authentication palm print. The iris biometric identification ability is well established and accepted. This is because of its unique features, such as defense (by a cornea), individuality (Any two irises could not be the same), fake-proof (because the true iris responds to the light) [1]. The word iris is used to denote the eye's colored part. This is a complex process involving musculature, organs and blood vessels [2]. Certain iris properties for automated recognition systems that make it superior to fingerprints include, but are not limited to, the complexity of medically adjusting its risk-free shape, Its
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