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A kind of Embedded System for Protecting Certificate Against Forgery is developed by combining with the Face Recognition and Two-Dimensional Barcode in order to help us identify the authenticity of certificate more easily. The system can accomplish the work of detecting and tracking the human face which is captured and collected by USB camera precisely with the help of motion tracking algorithm and...
Sign language data can be expressed as the positional changes of hands over time. Although increasing the number of hand movement sensors increases the recognition rate, the data scales become larger. In addition, each sign language data has a different duration. When large data are generated continuously, lower memory usage and a standardized form of data are necessary to be applied immediately in...
Principal component analysis (PCA) is a technique that is widely used for applications such as dimensionality reduction, image compression, feature extraction and data visualization. One of the key issues in the use of PCA for modelling is that it is very sensitive to outliers since its formulation is based on Gaussian density model. Lately, more heavy-tailed distribution (i.e., Student's t-distribution)...
Facial expression recognition can be divided into three steps: face detection, expression feature extraction and expression categorization. Facial expression feature extraction and categorization are the most key issue. To address this issue, we propose a method to combine local binary pattern (LBP) and embedded hidden markov model (EHMM), which is the key contribution of this paper. This paper first...
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