HAIRY 发表于 2025-3-28 16:18:13
https://doi.org/10.1007/978-981-97-5756-5ach that is based on heuristic rules to extract information in historical pre-printed forms with handwritten information. We analyze how each approach performs at each step of the extraction process. The proposed approaches improve the heuristic-rule baseline by up to 0.14 F-measure points throughout the information extraction pipeline.sterilization 发表于 2025-3-28 20:52:49
http://reply.papertrans.cn/29/2823/282298/282298_42.pngLAITY 发表于 2025-3-28 23:59:44
http://reply.papertrans.cn/29/2823/282298/282298_43.pngAIL 发表于 2025-3-29 04:51:18
http://reply.papertrans.cn/29/2823/282298/282298_44.png最后一个 发表于 2025-3-29 08:42:09
http://reply.papertrans.cn/29/2823/282298/282298_45.png增强 发表于 2025-3-29 13:30:46
Unified Line and Paragraph Detection by Graph Convolutional Networksspond to words, a text line is a cluster of boxes and a paragraph is a cluster of lines. These clusters form a two-level tree that represents a major part of the layout of a document. We use a graph convolutional network to predict the relations between text detection boxes and then build both levelCognizance 发表于 2025-3-29 16:44:50
The Winner Takes It All: Choosing the “best” Binarization Algorithm for Photographed Documentshe time elapsed in binarization varies widely between algorithms and also depends on the document features. On the other hand, document applications for portable devices have space and processing limitations that allow to implement only the “best” algorithm. This paper presents the methodology and aGuaff豪情痛饮 发表于 2025-3-29 21:13:17
http://reply.papertrans.cn/29/2823/282298/282298_48.png放逐 发表于 2025-3-30 03:05:24
http://reply.papertrans.cn/29/2823/282298/282298_49.png团结 发表于 2025-3-30 06:32:28
http://reply.papertrans.cn/29/2823/282298/282298_50.png