Title :
Face recognition based on the combination of histogram features and rough location information of facial parts
Author :
Lee, Feifei ; Kotani, Koji ; Chen, Qiu ; Ohmi, Tadahiro
Author_Institution :
New Ind. Creation Hatchery Center, Tohoku Univ., Tohoku
Abstract :
In this paper, an improved face recognition algorithm based on adjacent pixel intensity difference quantization (APIDQ) histogram method is proposed. By utilizing the rough location information of the facial parts, the facial area is divided into 5 individual parts, and then APIDQ is applied on each facial component. Recognition results are firstly obtained from different parts separately and then combined by weighted averaging. The experimental result shows that top 1 recognition rate of 97.6% is achieved when evaluated by FB task of the FERET database.
Keywords :
face recognition; adjacent pixel intensity difference quantization histogram; face recognition algorithm; facial area; facial component; facial parts; histogram features; recognition rate; rough location information; Face recognition; Filtering; Histograms; Humans; Image databases; Image recognition; Low pass filters; Mouth; Pixel; Quantization;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697551
