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Erschienen in:
POS Word Class Based Categorization of Gurmukhi Language Stemmed Stop Words Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

Face Verification Across Ages Using Discriminative Methods and See 5.0 Classifier

verfasst von : K. Kishore Kumar, P. Trinatha Rao

Erschienen in: Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 2

Verlag: Springer International Publishing

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Abstract

Identifying a person through face biometric and analysis of Facial image has been drawing interest of researchers in the field of Machine learning and Pattern recognition. Face Recognition Across Ages (FRA) is a challenging task due to aging effects like changes in facial shape and texture. In this paper, an attempt is made to describe a schematic using two different discriminative approaches for feature extraction and a see5.0 classifier for classification purposes. One of the feature finding approaches is based on Gradient Orientation Pyramids (GOP) that includes finding of gradient orientations in Gaussian pyramids, the later one is based on Local Binary Patterns (LBP) calculated at each stage of Gaussian pyramid decomposition. These we have used FG-NET database and accuracies of both the approaches are compared.

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Vorheriges Kapitel Semantic Model for Web-Based Big Data Using Ontology and Fuzzy Rule Mining
Nächstes Kapitel Autonomous Robot Navigation Using Fuzzy Logic
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Metadaten
Titel
Face Verification Across Ages Using Discriminative Methods and See 5.0 Classifier
verfasst von
K. Kishore Kumar
P. Trinatha Rao
Copyright-Jahr
2016
Buch
Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 2

Print ISBN: 978-3-319-30926-2

Electronic ISBN: 978-3-319-30927-9

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-30927-9_43