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One-Sample Face Recognition Using HMM Model of Fiducial Areas
One-Sample Face Recognition Using HMM Model of Fiducial Areas ... This paper describes an effective algorithm for recognition and verification with one sample image per class. ... Now HMM [102] is ...
One-sample Face Recognition Using HMM Model of Fiducial
One-sample Face Recognition Using HMM Model of Fiducial
Programming of 2D HMM for face recognition.
Programming of 2D HMM for face recognition. ... One-Sample Face Recognition Using HMM Model of Fiducial Areas. ... an effective algorithm for recognition and verification with one sample image per ...
One-Sample Face Recognition Using HMM Model of Fiducial Areas
One-Sample Face Recognition Using HMM Model of Fiducial Areas . ... This paper describes an effective algorithm forrecognition and verification with one sample image per class. It uses two dimensional discretewavelet transform (2D DWT) to extract features from images; and hidden Markov model (HMM)was used for training, recognition and ...
One-sample Face Recognition Using HMM Model of Fiducial Areas
One-sample Face Recognition Using HMM Model of Fiducial Areas . ... This paper describes an effective algorithm for recognition and verification with one sample image per class. It uses two dimensional discrete wavelet transform (2D DWT) to extract features from images; and hidden Markov model (HMM) was used for training, recognition and ......
Solomon A. ADENIRAN's research works | Obafemi Awolowo ...
Normally 5-state HMM is used in the researches made for face recognition system. ... Reference: Face Recognition: A Survey One-Sample Face Recognition Using HMM Model of Fiducial Areas
Recognizing Frontal Face Images Using Hidden Markov Models ...
In this paper, a low complexity 2-D Hidden Markov Model (HMM) Face Recognition (FR) system is introduced to provide a 2-D representation of the statistical features of the facial image, as opposed ...
John Adedapo OJO - Google Scholar Citations
Their combined citations are counted only for the first article. ... face detection, recognition and tracking of black faces under real-life situations. ... One-sample face recognition using HMM model of fiducial areas. JA Ojo, SA Adeniran. International Journal of Image Processing (IJIP) 5 (1), 58, 2011. 6:
Human Recognition Using Face in Computed Tomography | DeepAI
Human Recognition Using Face in Computed Tomography. ... we focus on the face area in CT, which occupies the majority of CT images, especially in head and neck CT. ... Finally, we leverage transfer learning to adapt a pretrained face recognition model from face depth images in the RGB-D domain to the computed face depth images from CTs....
Which is the best algorithm for Face Recognition?
Which is the best algorithm for Face Recognition? ... Face Recognition Using HMM Model of Fiducial Areas. ... an effective algorithm for recognition and verification with one sample image per ......
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