Segmentation of fingerprint images based on variance and gradient factor

Hui Li; Rongbo He; Peizhuo Liu

doi:10.1117/12.2011861

4 March 2013 Segmentation of fingerprint images based on variance and gradient factor

Hui Li, Rongbo He, Peizhuo Liu

Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87684Y (2013) https://doi.org/10.1117/12.2011861
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore

Abstract

The task of fingerprint segmentation is to isolate the fingerprint area from the image background. In this paper, a new algorithm of fingerprint segmentation based on block variance and gradient factor is proposed. A new composite feature for each block is used in this method. At first, the fingerprint image is partitioned into blocks, and then the product of variance and gradient factor is calculated as the new feature. Then the thresholds are computed adaptively. After segmentation, the isolated image blocks are wiped to get the final segmentation result. The experimental results show that this algorithm is effective and programmed easily.

Citation Download Citation

Hui Li, Rongbo He, and Peizhuo Liu "Segmentation of fingerprint images based on variance and gradient factor", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87684Y (4 March 2013); https://doi.org/10.1117/12.2011861

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