Pregled bibliografske jedinice broj: 511724
Local Binary LDA for Face Recognition
Local Binary LDA for Face Recognition // Lecture Notes in Computer Science, 6583 (2011), 144-155 doi:10.1007/978-3-642-19530-3_14 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 511724 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Local Binary LDA for Face Recognition
Autori
Fratrić, Ivan ; Ribarić, Slobodan
Izvornik
Lecture Notes in Computer Science (0302-9743) 6583
(2011);
144-155
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Biometrics; Face recognition; Linear discriminant analysis; Local features
Sažetak
Extracting discriminatory features from images is a crucial task for biometric recognition. For this reason, we have developed a new method for the extraction of features from images that we have called local binary linear discriminant analysis (LBLDA), which combines the good characteristics of both LDA and local feature extraction methods. We demonstrated that binarizing the feature vector obtained by LBLDA significantly improves the recognition accuracy. The experimental results demonstrate the feasibility of the method for face recognition as follows: on XM2VTS face image database, a recognition accuracy of 96.44% is obtained using LBLDA, which is an improvement over LDA (94.41%). LBLDA can also outperform LDA in terms of computation speed.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036-0361935-1954 - Teorija, modeliranje i uporaba autonomno orijentiranih računarskih struktura (Ribarić, Slobodan, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
