Age invariant face recognition using Frangi2D binary pattern
| Autor: | M. Parisa Beham, S. M. Seeni Mohamed Aliar Maraikkayar, Sabah Afroze, K. Rajakumar, R. Tamilselvi |
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| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science Feature extraction Pattern recognition 0102 computer and information sciences 02 engineering and technology Binary pattern Public domain Face aging 01 natural sciences Facial recognition system Sparse representation classifier Digital image 010201 computation theory & mathematics 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Invariant (mathematics) business |
| Zdroj: | Proceedings of the 2nd International Conference on Image and Graphics Processing. |
| DOI: | 10.1145/3313950.3313961 |
| Popis: | The field of computer vision is devoted to discovering algorithms, data representations and computer architectures that embody the principles underlying visual capabilities. Computer vision is an interdisciplinary field that deals with how computers can be made for gaining high level understanding from digital images or videos. While very promising result has been shown on face recognition related problems, age invariant face recognition still relics a challenge. Facial appearance of a human varies over time, which results in substantial intra-class variations. In order to address this problem, we propose Frangi2D method for normalization, Linear Binary pattern (LBP) for feature extraction and Sparse Representation Classifier (SRC). Extensive results on a well-known public domain face aging dataset: MORPH. The experimental results show the superiority of our proposed method in age invariant face recognition. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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