指纹自动识别中的中心点搜索和特征分块抽取方法
Core-point Searching and Segment Features Extraction in the Fingerprint Auto-recognition
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摘要: 提出了以指纹的中心点和次中心点定位的方法,对指纹图象分块进行特征抽取,最大限度地利用原指纹中所包含的信息,因而可以有效地对残缺指纹进行处理,至少也可大为缩小检索范围。这种方法对完整的指纹图象也同样有良好的处理效果。同时提出了一种快速算法,有效地降低了搜索过程的错误率。本文所提分块所形成的编码,既可作为独立的编码进行指纹检索,又可用作Henry分类的补充。Abstract: A method to define the position of fingerprint by means of the core point and second core point is presented. The features are extracted after the print is divided into many blocks. In this way the information included in the print is utilized more efficiently. In searching the core point, C.V.Kameswara's way is improved and a quick algorithm is given. The codes from divided blocks can be used as a kind of independent fingerprint code and as a compensation of Heap system.