Points Descriptor in Pattern Recognition: A New Approach

• Main Author: Dhyaa Al-Azzawy
• Format: Article
• Language: Arabic
• Published: University of Information Technology and Communications 2017-12-01
• Series: Iraqi Journal for Computers and Informatics
• Subjects: sift; pattern recognition (pr) ; hough transform (ht) ; corner detection.
• Online Access: http://ijci.uoitc.edu.iq/index.php/ijci/article/view/60

We presented in the paper a new tactic, the first thing we have done is extracting the points of descriptor, which it is used in pattern recognition, especially in detection of corner algorithm. Scales of samples (images), each image is tuned by a factor (scale), collect the corners, and collect the points of descriptor key in these collected corners, in other words; Hough Transform uses the collected descriptors for classification process, and classify each points of image to its equivalence class. Experimentally, by using MATLAB, we are shown high accuracy of recognition result on the selected samples of objects.