Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/45358
Title: Development of a real-time automated family classification system
Authors: Chen, George Fengrong.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2011
Abstract: The local binary pattern LBP, which was originally used for texture analysis, is now being proposed for improvement by the addition of threshold information. The LBP is superior in computational simplicity and this allows this project to be implemented in real time family classification system. As such, this project has two main components, one is to access the performance of proposed LBP with thresholds information which is in the back end stage, and the other is to implement this in real time application which is in the front end stage. Accessing the performance of the thresholded LBP, in terms of its error rate and training time was experimented in this project. Experimental results showed that the thresholded LBP, with thresholds from -69 to +69, step size of 5, has an improved error rate of about 4% and the most significant improvements was 8% in the family classification experiment of 53x63 pictures.
URI: http://hdl.handle.net/10356/45358
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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