# Facial recognition using multi edge detection and distance measure
> Intan I.

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_85152889278
Jurnal / Konferensi: Iaes International Journal of Artificial Intelligence
Tahun terbit: 2023
DOI: https://doi.org/10.11591/ijai.v12.i3.pp1330-1342
ISSN: 20894872
Kuartil SJR: Q3
Citations: 3

## Authors
- Intan I.

## Abstract
Face recognition provides broad access to several public devices, so it is essential in the midst of today's technology boom. Human face recognizing has challenge in using uncomplicated and straightforward algorithms quickly, using memory specifications are not too high, otherwise the results are quality and accurate. Face recognition using combination edge detection and Canberra distance can be recommended for applications that require fast and precise access. The application of several edge detections singly has low performance, so it requires a combination technique to obtain better results. The proposed method combined several edge detections such are Robert, Prewitt, Sobel, and Canny to recognize a face image by identification and verification. As a feature extractor, the combination edge detection forms a more robust and more specific facial pattern on the contour lines. The results show that the combination accuracy outperforms other extractor features significantly. Canberra distance produces the best performance compared to Euclidean distance and Mahalanobis distance.

## Keywords
- Computer science
- Sobel operator
- Prewitt operator
- Artificial intelligence
- Facial recognition system
- Euclidean distance
- Mahalanobis distance
- Edge detection
- Pattern recognition (psychology)
- Enhanced Data Rates for GSM Evolution
- Canny edge detector
- Computer vision
- Face (sociological concept)
- Feature (linguistics)
- Blob detection
- Image processing
- Image (mathematics)
- Sociology
- Social science
- Linguistics
- Philosophy

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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