A Palmprint Feature Extraction and Pattern Classification Based on Hybrid PSO-K-Means Clustering
Bhawani Sankar Panigrahi, Hari Narayan Pratihari, Gayatri Devi, Satyabrata Dash · 2011
The paper presents a hybrid particle swarm optimization (PSO) technique for optimally clustering N palmprint data points into K cluster. The cluster center are automatically detected by PSO technique from a set of features obtained by applying geometrical methods to the palmprint data. The image captured by a peg-free scanner, a rectangular region of interest (ROI) containing only the heart line is extracted. Intensity of the ROI image is standardized and image is smoothened. After that soble gradient with a threshold is applied to extract the heart line from the ROI. The cluster centers are useful in identifying the class of the palmprint, which occurs in a variety of practical system in engineering and science. Keyword