现代电子技术2012，Vol.35Issue(8)：54-56,60,4.
基于不同隐马尔科夫模型的图像识别方法
Image recognition algorithms based on different hidden Markov models
摘要
Abstract
For a more detailed study on the applications of hidden Markov models in image recognition, taking fingerprint identification as an example, several fingerprint image recognition algorithms based on HMM (hidden Markov model) are summarized. It includes one-dimensional hidden Markov model, pseudo-two-dimensional hidden Markov model, two-dimensional model and one-dimensional model group. The advantages and disadvantages of the four HMMs in the aspect of image recognition are respectively elaborated in time complexity of recognition accuracy, etc. The classification of the models corresponding to different images under recognition was implemented.关键词
隐马尔科夫模型/E-HMM/图像识别/指纹识别Key words
hidden Markov models E-HMM/ image recognition/ fingerprint recognition分类
信息技术与安全科学引用本文复制引用
李楠,姬光荣..基于不同隐马尔科夫模型的图像识别方法[J].现代电子技术,2012,35(8):54-56,60,4.基金项目
国家“863”基金资助项目:有害赤潮生物诊断系统技术研究(2006AA092178) （2006AA092178）
