Robust Line Hausdorff Distance for Face Recognition
| Autor: | Chau Dang-Nguyen, Tuan Do-Hong |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Facial expression
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 01 natural sciences Facial recognition system Hausdorff distance Robustness (computer science) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence 010306 general physics business |
| Zdroj: | 2019 International Symposium on Electrical and Electronics Engineering (ISEE). |
| Popis: | Human face recognition has a lot of applications in recent life. For last 20 years, face recognition has been an attractive problem for pattern recognition researcher which a lot of method has been introduced. However, non-ideal conditions (lighting conditions, face expressions) for face recognition have been still a significant challenge to researchers. Line Hausdorff distance (LHD), which used distance between edge map of face images for calculating the different between facial images, was a fast and high accuracy method for face recognition. In this paper, a modification of LHD was proposed, Robust Line Hausdorff distance. The experimental results showed that the proposed method had a half of time of the LHD method while the accuracy of face recognition was higher than LHD method. Moreover, the accuracy of the proposed method was robust which the non-ideal condition of face images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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