Identification system from motion pictures: LBPH application
Yazarlar (2)
Haşiloǧlu Abdulsamet
Atatürk Üniversitesi, Türkiye
Atatürk Üniversitesi, Türkiye
Öğr. Gör. Olcay TOSUN Atatürk Üniversitesi, Türkiye
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | Türkçe |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Web of Science Kapsamındaki Kongre/Sempozyum | ||
| DOI Numarası | 10.1109/UBMK.2017.8093546 | ||
| Kongre Adı | International Conference on Computer Science and Engineering (UBMK) | ||
| Kongre Tarihi | 05-10-2017 / 08-10-2017 | ||
| Basıldığı Ülke | Türkiye | Basıldığı Şehir | Antalya |
| Bildiri Linki | https://ieeexplore.ieee.org/abstract/document/8093546 | ||
| UAK Araştırma Alanları |
Yapay Zeka
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| Özet |
| Nowadays, identification systems are getting more and more attention due to terrorist attacks seen all over the world. Recognition of the unauthorized person has quite importance to secure critical areas. It is vital to know biometric data to recognize a person. Today face recognition systems has three steps: First, capture the face from image. Then, identify the face. Last, compare the face with faces in database. In this study, Haar-based cascade classifier was trained to detect and track face objects. LBPH algorithm was applied to recognize detected faces and success rate of this algorithm was examined. Additionally, success rate of LBPH, Eigenface and Fisherface algorithm were compared with each other over pictures. Especially Fisherface algorithm got better score then other two algorithms when number of pictures got higher. |
| Anahtar Kelimeler |
| Eigenface | Fisherface | Haar-based | LBPH |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 2 |
| Google Scholar | 3 |