AUTOMATED FINGERPRINT RECOGNITION USING STRUCTURAL MATCHING

被引：155

作者：

HRECHAK, AK

MCHUGH, JA

机构：

[1] Department of Computer and Information Science, New Jersey Institute of Technology, Newark

来源：

PATTERN RECOGNITION | 1990年 / 23卷 / 08期

关键词：

Feature extraction; Fingerprint recognition; Identification; Image processing; Partitioning; Structural matching;

D O I：

10.1016/0031-3203(90)90134-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Automated fingerprint recognition has received considerable attention over the past decade. Progress has been made on models of the structure of fingerprints, techniques for the acquisition of prints, and the development of commercial automated fingerprint recognition systems. Despite these advances, there remain considerable opportunities for improvement. The speed of retrieval, and the ability to recognize partial or distorted prints are prominent among those areas that require improvement. This study will describe a structural model of fingerprints, based on local structural relations among features, and an associated automated recognition system which addresses the limitations of existing fingerprint models. © 1990.

引用

页码：893 / 904

页数：12

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