Paper Details: Downloads: 2364
Serial Number: P1121653529
Title: Improved Face Recognition based on Hidden Markov Model
Authors: Sameh Magdy and Tarek Mahmoud and Mohamed Ibrahim
Abstract: In this paper, a new face recognition technique based on Hidden Markov Model (HMM), Pre-processing, and feature extraction (K-means and the Sobel operator) is proposed. Two main contributions are presented; the first contribution in the pre-processing were image’s edges are normalized to enhance the HMM models to be non- sensitive to different edges. The second contribution is a new technique to extract the image's features by splitting the image into non-uniform height depending on the distribution of the foreground pixels. The foreground pixels are extracting by using the vertical sliding windows. The proposed technique is faster with a higher accuracy with respect to other techniques which are investigated for comparison. Moreover, it shows the capability of recognizing the normal face (center part) as well as face boundary.
Keywords: HMM, Sobel operator, Face Recognition, Accuracy
Journal/Conference: International Journal of Artificial Intelligence and Machine Learning
Volume: 17
Issue: 1
Submission Date: 12/24/2016 12:00:00 AM
Review Date: 1/9/2017 12:00:00 AM
Publishing Date: 1/15/2017 12:00:00 AM
Article Downloads: 2364
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