International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 124 - Number 14 |
Year of Publication: 2015 |
Authors: M.L. Anitha, K.A. Radhakrishna Rao |
10.5120/ijca2015905784 |
M.L. Anitha, K.A. Radhakrishna Rao . Extraction of Region of Interest (ROI) for Palm Print and Inner Knuckle Print. International Journal of Computer Applications. 124, 14 ( August 2015), 21-26. DOI=10.5120/ijca2015905784
This paper proposes an novel approach to extract the Region of interest (ROI) for palm print and inner knuckle print(IKP) from hand images captured from a digital camera. An new algorithm to detect candidate key points on hand region is described. Using the candidate key points a novel approach to locate the ROI of palm print and inner knuckle print is proposed. The proposed approach is evaluated using the database collected at our institute. The results obtained are promising and confirm the usefulness of proposed ROI extraction approach for developing hand based biometric recognition systems.