摘要
指纹识别技术是重要的刑事侦查手段,也是图像识别领域具有代表性的一类模式识别问题。本文通过对机器学习算法的研究和分析,将目前流行的学习算法应用于指纹识别问题,以提高指纹识别系统的识别速度和学习算法的泛化能力。
Fingerprint recognition is both important means for criminal investigation and representative pattern recognition in image recognition.In the paper,machine learning algorithms are studied and analyzed in order to apply present popular learning algorithms to fingerprint recognition and improve the recognition rate of fingerprint recognition system and the generalization of the learning algorithms.
关键词
指纹识别
神经网络
支持向量机
流形学习
fingerprint recognition
neural network
support vector machine
manifold learning
