Gabor Wavelet Associative Memory for Face Recognition  

Oleh:

Zhang, Haihong ; Zhang, Bailing ; Huang, Weimin ; Tian, Qi

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 16 no. 1 (Jan. 2005), page 275-278.
Topik: face recognition; gabor wavelet; associative memory; face recognition

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.12 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

This letter describes a high - performance face recognition system by combining two recently proposed neural network models, namely Gabor wavelet network (GWN) and kernel associative memory (KAM), into a unified structure called Gabor wavelet associative memory (GWAM). GWAM has superior representation capability inherited from GWN and consequently demonstrates a much better recognition performance than KAM. Extensive experiments have been conducted to evaluate a GWAM - based recognition scheme using three popular face databases, i. e., FERET database, Olivetti - Oracle Research Lab (ORL) database and AR face database. The experimental results consistently show our scheme's superiority and demonstrate its very high - performance comparing favorably to some recent face recognition methods, achieving 99.3 % and 100 % accuracy, respectively, on the former two databases, exhibiting very robust performance on the last database against varying illumination conditions.

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