| 1. | Acquisition of fingerprint angle feature based on ridge line tracking
基于脊线跟踪的指纹角度特征的提取方法及应用 |
| 2. | Anticlinal hinge region
背斜脊线区 |
| 3. | Axial hinge line
轴向脊线 |
| 4. | 4 ) in unit 5 , an alignment - based algorithms minutiae matching for fingerprint verification is studied
4 )对基于脊线校准的特征点匹配算法进行了研究和讨论。 |
| 5. | In addition , the similar results are also obtained from other several typical cases of the double sh ridges
对其它几个典型副高双脊线过程进行分析也得到了类似的结果。 |
| 6. | We proposed an improved fingerprint classification algorithm . it receives better result on loop fingerprint with ridge tracing
提出了一种改进的分类算法，并使用脊线跟踪提高了判别左箕、右箕类指纹的准确率。 |
| 7. | The board could assess the design of waterfront developments and at the same time evaluate the impact of development proposals on views to ridgelines
委员会可以在评审海旁发展的设计时，同时评估发展建议对在远眺下山脊线景观的影响。 |
| 8. | Fingerprint image is different from other images , because it has its own characters : its ridge possess of orientation and coincidence in a small range
指纹图像不同于其他图像，它有自己的特点：指纹中的脊线在一个小范围内具有方向性和走向一致性。 |
| 9. | Fingerprint digital image binarization is the key techniques of fingerprint image processing . in this core , the filter based on the block orientations is the key of the cores
指纹数字图像的脊线二值化是核心技术，而在这个核心中基于块方向的滤波是核心的核心。 |
| 10. | Firstly , this paper presents an algorithm based on ridge following to extract all minutiae from the pre - processed image . secondly , we validate these minutiae and eliminate pseudo ones
本文先采用脊线跟踪法将指纹图中的细节特征全部找出来，再对每个细节特征进行验证，尽量去除伪特征点。 |
