دورية أكاديمية

An Efficient Hybrid Face Recognition Algorithm Using PCA and GABOR Wavelets

التفاصيل البيبلوغرافية
العنوان: An Efficient Hybrid Face Recognition Algorithm Using PCA and GABOR Wavelets
المؤلفون: Hyunjong Cho, Rodney Roberts, Bowon Jung, Okkyung Choi, Seungbin Moon
المصدر: International Journal of Advanced Robotic Systems, Vol 11 (2014)
بيانات النشر: SAGE Publishing, 2014.
سنة النشر: 2014
المجموعة: LCC:Electronics
LCC:Electronic computers. Computer science
مصطلحات موضوعية: Electronics, TK7800-8360, Electronic computers. Computer science, QA75.5-76.95
الوصف: With the rapid development of computers and the increasing, mass use of high-tech mobile devices, vision-based face recognition has advanced significantly. However, it is hard to conclude that the performance of computers surpasses that of humans, as humans have generally exhibited better performance in challenging situations involving occlusion or variations. Motivated by the recognition method of humans who utilize both holistic and local features, we present a computationally efficient hybrid face recognition method that employs dual-stage holistic and local feature-based recognition algorithms. In the first coarse recognition stage, the proposed algorithm utilizes Principal Component Analysis (PCA) to identify a test image. The recognition ends at this stage if the confidence level of the result turns out to be reliable. Otherwise, the algorithm uses this result for filtering out top candidate images with a high degree of similarity, and passes them to the next fine recognition stage where Gabor filters are employed. As is well known, recognizing a face image with Gabor filters is a computationally heavy task. The contribution of our work is in proposing a flexible dual-stage algorithm that enables fast, hybrid face recognition. Experimental tests were performed with the Extended Yale Face Database B to verify the effectiveness and validity of the research, and we obtained better recognition results under illumination variations not only in terms of computation time but also in terms of the recognition rate in comparison to PCA- and Gabor wavelet-based recognition algorithms.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1729-8814
Relation: https://doaj.org/toc/1729-8814
DOI: 10.5772/58473
URL الوصول: https://doaj.org/article/28216f9be80944cb93ec4cae0f604d6a
رقم الأكسشن: edsdoj.28216f9be80944cb93ec4cae0f604d6a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17298814
DOI:10.5772/58473