Insights on the Use of Convolutional Neural Networks for Document Image Binarization
ADVANCES IN COMPUTATIONAL INTELLIGENCE, PT II(2015)
摘要
Convolutional Neural Networks have systematically shown good performance in Computer Vision and in Handwritten Text Recognition tasks. This paper proposes the use of these models for document image binarization. The main idea is to classify each pixel of the image into foreground and background from a sliding window centered at the pixel to be classified. An experimental analysis on the effect of sensitive parameters and some working topologies are proposed using two different corpora, of very different properties: DIBCO and Santgall.
更多查看译文
关键词
Hide Layer, Document Image, Convolutional Neural Network, Deep Neural Network, Input Window
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