کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
405233 677510 2013 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A sub-block-based eigenphases algorithm with optimum sub-block size
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A sub-block-based eigenphases algorithm with optimum sub-block size
چکیده انگلیسی

Several algorithms have been proposed for constrained face recognition applications. Among them the eigenphases algorithm and some variations of it using sub-block processing, appears to be desirable alternatives because they achieves high face recognition rate, under controlled conditions. However, their performance degrades when the face images under analysis present variations in the illumination conditions as well as partial occlusions. To overcome these problems, this paper derives the optimal sub-block size that allows improving the performance of previously proposed eigenphases algorithms. Theoretical and computer evaluation results show that, using the optimal block size, the identification performance of the eigenphases algorithm significantly improves, in comparison with the conventional one, when the face image presents different illumination conditions and partial occlusions respectively. The optimal sub-block size also allows achieving a very low false acceptance and false rejection rates, simultaneously, when performing identity verification tasks, which is not possible to obtain using the conventional approach; as well as to improve the performance of other sub-block-based eigenphases methods when rank tests are performed.


► The use of optimum sub-block size improves the eigenphases algorithm.
► The optimal block size is of 2 × 2 pixels.
► Proposed method outperforms the original one even with partial occlusion.
► Recognition rate of proposed method is 99.6% without partial occlusion.
► Recognition rate of proposed method is 97.6% with partial occlusion.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Knowledge-Based Systems - Volume 37, January 2013, Pages 415–426
نویسندگان
, , , , ,