Near infrared face recognition using Zernike moments and Hermite kernels

نویسندگان

  • Sajad Farokhi
  • Usman Ullah Sheikh
  • Jan Flusser
  • Bo Yang
چکیده

Article history: Received 21 June 2014 Received in revised form 7 April 2015 Accepted 11 April 2015 Available online 21 April 2015

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Rotation and noise invariant near-infrared face recognition by means of Zernike moments and spectral regression discriminant analysis

Face recognition is a rapidly growing research area, which is based heavily on the methods of machine learning, computer vision, and image processing. We propose a rotation and noise invariant near-infrared face-recognition system using an orthogonal invariant moment, namely, Zernike moments (ZMs) as a feature extractor in the near-infrared domain and spectral regression discriminant analysis (...

متن کامل

A face recognition approach using Zernike Moments for video surveillance

In this paper, a face recognition approach using Zernike moments is presented for the main purpose of detecting faces in surveillance cameras. Zernike moments are invariant to rotation and scale and these properties make them an appropriate feature for automatic face recognition. A Viola-Jones detector based on the Adaboost algorithm is employed for detecting the face within an image sequence. ...

متن کامل

Face Recognition in Low-resolution Images by Using Local Zernike Moments

In this paper, we propose a method that uses Local Zernike Moments (LZM) for face recognition in low-resolution face images. Global Zernike Moments produce one moment value for whole image, whereas LZM are based on the evaluation of the moments for each pixel. LZM are shown to achieve significant success and robustness in face recognition. In order to further increase the robustness of LZM agai...

متن کامل

Local and Semi-Global Feature-Correlative Techniques for Face Recognition

Face recognition is an interesting field of computer vision with many commercial and ‎scientific applications. It is considered as a very hot topic and challenging problem at the ‎moment. Many methods and techniques have been proposed and applied for this purpose, ‎such as neural networks, PCA, Gabor filtering, etc. Each approach has its weaknesses as ‎well as its points of strength. This paper...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Inf. Sci.

دوره 316  شماره 

صفحات  -

تاریخ انتشار 2015