Application of Machine Learning in Fingerprint Image Enhancement and Recognition: A Review

Kshitij Singh, G. Dixit
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引用次数: 0

Abstract

Biometric characteristics helps to recognize an individual among others. Each individual has a unique biometric feature. So, an automated system is designed to recognize an individual. In today’s growing AI development, biometric recognition is applied in many security systems. One of oldest and widely used authentic biometric methodology is fingerprint recognition. Many fingerprint recognition algorithms are designed and developed in order to reduce error rate and to improve accuracy. In this paper, a comprehensive review is presented on various techniques used for fingerprint recognition system along with their performance and their limitations. The purpose of this paper is to review various recent work on the fingerprint recognition system, to explain step by step the steps for recognizing fingerprints, and to provide summaries of the fingerprint databases with functionality
机器学习在指纹图像增强与识别中的应用综述
生物特征有助于在人群中识别个体。每个人都有独特的生物特征。所以,自动化系统是用来识别个人的。在人工智能不断发展的今天,生物识别在许多安全系统中得到了应用。指纹识别是最古老、应用最广泛的生物识别方法之一。为了降低错误率和提高准确率,人们设计和开发了许多指纹识别算法。本文对用于指纹识别系统的各种技术及其性能和局限性进行了综述。本文综述了近年来关于指纹识别系统的各种研究工作,逐步介绍了指纹识别的步骤,并对具有功能的指纹数据库进行了总结
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