Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks.
Pattern Recognition(2017)
摘要
•We propose formulations for learning features for Offline Signature Verification.•A novel method that uses knowledge of forgeries from a subset of users is proposed.•Learned features are used to train classifiers for other users (without forgeries).•Experiments on GPDS-960 show a large improvement in state-of-the-art.•Results in other 3 datasets show that the features generalize without fine-tuning.
更多查看译文
关键词
Signature verification,Convolutional Neural Networks,Feature learning,Deep learning
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要