Implementation of an novel face recognition system to minimize the false identification rate using outsu’s threshold segmentation in comparison with sobel edge detection

The aim of this research is to develop the Novel Face Recognition for identifying the human face using the threshold segmentation technique in comparison with the edge detection technique. The total of 48 samples were taken to form a dataset and analysed using two groups. Group 1 represents the Otsu...

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Bibliographic Details
Main Authors: Kavitha, A., Priyanka, R.
Format: Conference Proceeding
Language:English
Subjects:
Edge detection
Face recognition
Image segmentation
Online Access:Get full text
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Summary:The aim of this research is to develop the Novel Face Recognition for identifying the human face using the threshold segmentation technique in comparison with the edge detection technique. The total of 48 samples were taken to form a dataset and analysed using two groups. Group 1 represents the Otsu’s Threshold Segmentation and group 2 represents the Sobel Edge Detection. In that 28 images with different facial positions and 20 images with different facial expressions. The outu’s threshold segmentation has achieved the accuracy of 81.4% respectively compared to 63.9% by sobel edge detection and the significance achieved is (p
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0179046