Research on fingerprint triangle region recognition Based on Convolutional Neural Networks
In todays society,the growing instability has made identification technology a hot issue.Most traditional methods are based on a series of hand-defined preprocesses such as binarization.However,these preprocesses require strong prior knowledge.And that will lead to dropped or false extractions of minutiae.In this paper,a fingerprint triangle region recognition approach based on deep convolutional neural networks is proposed,which directly extract minutiae on raw fingerprint images without any preprocess since we tactfully take the advantage of the strong representative capacity of deep convolutional neural networks(including JudgeNet and LocateNet).Results show that our approach performs better in accuracy and robustness.
Neural network minutiae fingerprint image convolutional layer
Ai Le Zhizhong Zhang
Institute of Criminal Science and Technology,Peoples Public Security University of China,Beijing 10 State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese A
国际会议
浙江宁波
英文
48-53
2019-07-06（万方平台首次上网日期，不代表论文的发表时间）