[1]Yilihamu·Yaermaimaiti.A new fusion algorithm for uyghur face recognition[J].CAAI Transactions on Intelligent Systems,2018,13(3):431-436.[doi:10.11992/tis.201710014]
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A new fusion algorithm for uyghur face recognition

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 13 Number of periods: 2018 3 Page number: 431-436 Column: 学术论文—机器感知与模式识别 Public date: 2018-05-05
Title:
A new fusion algorithm for uyghur face recognition
Author(s):
Yilihamu·Yaermaimaiti
College of Electncian Engineering, Xinjiang University, Urumqi 830047, China
Keywords:
face recognition; uyghur; illumination; occlusion; dct; poem; frequency domain state; deep learning
CLC:
TP391.4
DOI:
10.11992/tis.201710014
Abstract:
Considering the inferior robustness of Uyghur face recognition under illumination and partial occlusion, this study proposes a Uyghur face recognition algorithm based on two-dimensional discrete cosine transform (2DDCT) and patterns of oriented edge magnitudes (POEM). The Uygur face images were partitioned into several blocks, and 2DDCT was used to transform the partitioned images into a frequency domain. The images were compacted and irrelevant information was excluded, i.e., the medium-frequency portion and the low-frequency portion, and then a two-dimensional inverse discrete cosine transform (IDCT) was carried out to obtain a reconstructed Uygur face image. The POEM was then used to calculate the characteristic quantity of the Uygur face image to obtain the corresponding POEM histogram. All histograms were cascaded together as the POEM texture histogram of the central characteristic point to acquire the texture feature information of Uygur face feature point. Finally, a deep learning algorithm was used to classify recognition. The algorithm proposed in this paper can improve the face recognition rate and operation speed of a self-built Uyghur face database. Experimental results show that the algorithm has good recognition accuracy, especially for a Uyghur face database, and strong robustness, especially under illumination and partial occlusion.
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