Face Recognition In Low Lighting Conditions Using Fisherface Method And CLAHE Techniques
Autor: | Febryanti Sthevanie, Kurniawan Nur Ramadhani, Muhammad Fauzan Rahman |
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Rok vydání: | 2020 |
Předmět: |
Biometrics
business.industry Computer science media_common.quotation_subject Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Facial recognition system Field (computer science) ComputingMethodologies_PATTERNRECOGNITION Histogram Face (geometry) Contrast (vision) Adaptive histogram equalization Computer vision Artificial intelligence business media_common |
Zdroj: | 2020 8th International Conference on Information and Communication Technology (ICoICT). |
DOI: | 10.1109/icoict49345.2020.9166317 |
Popis: | Face recognition is a biometric identification system that uses facial images as its input which is usually used in the field of human identity recognition. The accuracy of face recognition system still relies on good image quality, especially in image lighting conditions. We proposed a face recognition system that deals with facial images in low light conditions, by adding image enhancement with contrast adaptive histogram equalization (CLAHE) contrast techniques to create good quality lighting images. From the experiment conducted, we have shown that our approach improved face recognition system performed well at the brightness level of -80 with the accuracy of 76.92%. |
Databáze: | OpenAIRE |
Externí odkaz: |
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