face recognition using principal component analysis and wavelet
عنوان مقاله: face recognition using principal component analysis and wavelet
شناسه ملی مقاله: ICMVIP01_007
منتشر شده در اولین کنفرانس ماشین بینایی و پردازش تصویر در سال 1379
شناسه ملی مقاله: ICMVIP01_007
منتشر شده در اولین کنفرانس ماشین بینایی و پردازش تصویر در سال 1379
مشخصات نویسندگان مقاله:
m fathi - iran uinversity of science and technology
gholamreza ramezan
خلاصه مقاله:
m fathi - iran uinversity of science and technology
gholamreza ramezan
principal component analysis method is mor considered among the algebraic methods for extracting face features. This analysis is a strong statistical method in thid paper the performance of this method on the ORL olivetti research library face images bank is presented the tests we performed has shown the suitable threshold in PCA matrix this threshold shows the necessary lines of PCA matrix for a face recognition systems our researches have shown that the suitable threshold in 150 eigenvectors and in this case the recognition rate is 84% .
کلمات کلیدی: face recognition , principal component analysis PCA, wavelet
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/125906/