期刊
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
卷 E103D, 期 3, 页码 720-723出版社
IEICE-INST ELECTRONICS INFORMATION COMMUNICATION ENGINEERS
DOI: 10.1587/transinf.2019EDL8199
关键词
deep learning; handwritten numeral recognition; convolutional neural network
Handwritten numeral recognition is a classical and important task in the computer vision area. We propose two novel deep learning models for this task, which combine the edge extraction method and Siamese/Triple network structures. We evaluate the models on seven handwritten numeral datasets and the results demonstrate both the simplicity and effectiveness of our models, comparing to baseline methods.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据