Analysis of Principal Line-Based Alignment Refinement for Palmprint Recognition
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 3
Abstract
Palmprint has proved to be one of themost unique andstable biometric characteristics.Image alignment is an important step in various biometric authentication systems. Most of the existing palmprint recognition algorithmsmakes use of competitive valley detection algorithm to find some key points between fingers to establish the local coordinate system for extracting the region of interest (ROI). The ROI is consequently used for feature extraction and matching. Such alignment methods usually yield a coarse alignment of the palmprint images, while many missed and false matches are actually caused by inaccurate image alignments. To improve the palmprint verification accuracy, in this paper,we present an alignment method which involves moving and rotating the palmprints to locate at their correct position with the same direction and this helps easier feature extraction and matching along with developing the remaining portions of a palm given the partial palm images.We propose a new palmprint recognition strategy that combines the line features to refine the image alignment and then using the local features for matching. The experimental resultsshow that the proposed method greatly improves the palmprint recognition accuracy and it works in real time.
Authors and Affiliations
N. Lavanya Devi, R. Sandossh,A. SathishBalan
Keywords
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