Segmentation of Fingerprint Images Based on Multi-Scales Roof Edge Detection

doi:10.11834/jig.20010113

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Segmentation of Fingerprint Images Based on Multi-Scales Roof Edge Detection
Vol. 6, Issue 1, Pages: 51(2001)
Published：2001
DOI： 10.11834/jig.20010113
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DOI：

Segmentation of Fingerprint Images Based on Multi-Scales Roof Edge Detection[J]. Journal of Image and Graphics, 2001, 6(1): 51. DOI： 10.11834/jig.20010113.

摘要

针对指纹图象的细节识别问题，提出了一种新的分割指纹图象中脊和谷的方法。该方法是上述脊和谷看成是屋顶边缘，脊和谷的两个边界看成是阶跃边缘，并利用基于B样条小波的多尺度屋顶边缘检测方法来实现脊和谷的分割；同时详细讨论了精确确定屋顶状目标所需的尺度范围，并给出了检测目标的具体方法。实验证明，该方法用于不同质量的指纹图象的检测都取得了令人满意的效果，需要指出的是，该方法也同样适用于其它类似屋顶状目标的检测。

Abstract

Automatic fingerprint identification is one of the most significant biometrics technology. Preprocessing of fingerprint image play an important role in automatic fingerprint identification system(AFIS) and segmenting the ridges and valleys from fingerprint images is the basic task of preprocessing. This paper presents a new segment method for the ridges and valleys of fingerprint images. The ridges and valleys are considered as roof edge and their two sides are taken for step edges

then ridges and valleys can be located based on roof edge detection of multi scales B spline wavelet

and the area of the ridges and valleys is decided by the step edges. The valid scale range for roof target detection is discussed in detail

and we also give the simply and concretely segment method. The effectiveness of this algorithm has been testified for different quality fingerprints images. It must be point out that this segment method can be applied to detection of other similar roof targets.