Abstract
Aiming at the problem that using maximum inscribed circle algorithm to extract the region of interest (ROI) in palm vein image is retrieved and recorded too much, an improved maximum inscribed circle algorithm is proposed. First of all, the palm vein image was done by background separation and smoothing filter preprocessing. Secondly, the grids were added for the preprocessed image, the selection range of the center was determined by the assistant of grids, the initial radius and the variable value of radius were defined. Then, changed the radius in variable size, recorded all inscribed circles. Finally, compared and obtained the maximum inscribed circle of the palm vein image. The circle was the ROI which was needed. The experimental results show that the execution time of the new algorithm is reduced by 10.7 ms, 10.2 ms, 11.3 ms and 10.8 ms under four groups of samples respectively. Therefore, the new algorithm effectively improves the efficiency of the maximum inscribed circle algorithm.
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Liu, G., Zhang, J. (2017). Research on Extraction Algorithm of Palm ROI Based on Maximum Intrinsic Circle. In: Chen, G., Shen, H., Chen, M. (eds) Parallel Architecture, Algorithm and Programming. PAAP 2017. Communications in Computer and Information Science, vol 729. Springer, Singapore. https://doi.org/10.1007/978-981-10-6442-5_23
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DOI: https://doi.org/10.1007/978-981-10-6442-5_23
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