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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/4379

Title: Exploration and Analysis of Periocular Biometrics for Human Recognition
Keywords: Periocular, Biometrics, computational, Intelligence, Feature extraction, face, fusion, local binary patterns, periocular recognition, and scale-invariant feature transform.
Researcher: Nirgish Kumar
Guide(s): Dr. Vivek Srivastava
Registration Date: 22.03.2016
Abstract: Periocular biometrics is the characteristic trait of biometrics used for human recognition that involves the region around the eye. Acquisition of the periocular biometric is expected to require less subject cooperation while permitting a larger depth of fields compare to traditional ocular biometric traits (viz., iris, retina, and sclera). In the proposed work, I will study the feasibility of periocular region as a biometric trait for human recognition as compared to other ocular biometrics. Global and local information are extracted from the periocular region using texture and point operators results in a feature set for representing and matching this region. newlineIn this work, we will develop to novel computational intelligence based and technique for periocular biometric based for human recognition. In most of the researcher, It has been found that statistic based applications employed for periocular based human recognition. Therefore, we will design to develop, synergistic, integration of neural fuzzy system for efficient periocular based biometric system. Moreover, we will use different feature extraction techniques such as LBP, PCA, and ICA for pre-processing of periocular biometrics. Comparative Analysis with other competent technologies is also the essential part of this research work. newline
Language: English
Appears in Department:Department of Biotechnology

Files in This Item:

File Description SizeFormat
01_title.pdfAttached File102.89 kBAdobe PDFView/Open
02_introduction.pdf189.88 kBAdobe PDFView/Open
03_literature review.pdf184.93 kBAdobe PDFView/Open
04_expected impact on academics, industry.pdf188.08 kBAdobe PDFView/Open
05_methodology of the research work.pdf71.44 kBAdobe PDFView/Open
06_major input (infrastructure) requirement.pdf102.42 kBAdobe PDFView/Open
07_references.pdf831.4 kBAdobe PDFView/Open
08_abstract.pdf137.93 kBAdobe PDFView/Open
09_ plagiarism report.pdf1.17 MBAdobe PDFView/Open

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