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Full-Text Articles in Signal Processing
A Highly Efficient Biometrics Approach For Unconstrained Iris Segmentation And Recognition, Yu Chen
A Highly Efficient Biometrics Approach For Unconstrained Iris Segmentation And Recognition, Yu Chen
FIU Electronic Theses and Dissertations
This dissertation develops an innovative approach towards less-constrained iris biometrics. Two major contributions are made in this research endeavor: (1) Designed an award-winning segmentation algorithm in the less-constrained environment where image acquisition is made of subjects on the move and taken under visible lighting conditions, and (2) Developed a pioneering iris biometrics method coupling segmentation and recognition of the iris based on video of moving persons under different acquisitions scenarios. The first part of the dissertation introduces a robust and fast segmentation approach using still images contained in the UBIRIS (version 2) noisy iris database. The results show accuracy estimated …
An Incremental Multilinear System For Human Face Learning And Recognition, Jin Wang
An Incremental Multilinear System For Human Face Learning And Recognition, Jin Wang
FIU Electronic Theses and Dissertations
This dissertation establishes a novel system for human face learning and recognition based on incremental multilinear Principal Component Analysis (PCA). Most of the existing face recognition systems need training data during the learning process. The system as proposed in this dissertation utilizes an unsupervised or weakly supervised learning approach, in which the learning phase requires a minimal amount of training data. It also overcomes the inability of traditional systems to adapt to the testing phase as the decision process for the newly acquired images continues to rely on that same old training data set. Consequently when a new training set …