A Review on Fingerprint Classification Techniques

Fadzilah Ahmad, D. Mohamad
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引用次数: 24

Abstract

Automatic fingerprint recognition has been widely applied as a personal identification tool and biometrics applications due to their reliability and uniqueness features. One of the important tasks for any large scale fingerprint recognition system is fingerprint classification. Classifying a fingerprint images is a very difficult pattern recognition problem, due to the small interclass variability, the large intraclass variability, the presence of noise and the ambiguous properties of fingerprints. An accurate classification algorithm can greatly reduce the number of comparisons during fingerprint retrieval and consequently speeded up the identification process. Over the past few decades, a significant amount of researches and techniques has been proposed for distinguishing fingerprint classes. In this paper, we review existing approaches that have been applied to the classification problems. The explanation and discussion in this paper will cover the issues, designs and performance of several techniques for fingerprint classification system.
指纹分类技术综述
自动指纹识别以其可靠性和唯一性等特点,在个人身份识别和生物特征识别领域得到了广泛的应用。指纹分类是任何大规模指纹识别系统的重要任务之一。由于指纹图像的类间变异性小、类内变异性大、存在噪声以及指纹本身的模糊性,分类是一个非常困难的模式识别问题。一个准确的分类算法可以大大减少指纹检索过程中的比较次数,从而加快识别过程。在过去的几十年里,人们对指纹分类进行了大量的研究,并提出了大量的技术。在本文中,我们回顾了已经应用于分类问题的现有方法。本文将对几种指纹分类系统的问题、设计和性能进行阐述和讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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