横截,横断 发表于 2025-3-23 11:05:49
Stem Cell Biology and Regenerative Medicinental one-line license plate recognition and consider license plate recognition as a one-dimensional sequence recognition problem. However, for multidirectional and two-line license plates, the features of adjacent characters may mix together when directly transforming a license plate image into a onTerminal 发表于 2025-3-23 17:32:42
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http://reply.papertrans.cn/29/2824/282313/282313_14.png前面 发表于 2025-3-24 02:30:23
Rais Ansari,Claude L. Hughes,Kazim Husainithms. Nevertheless, existing approaches often obtain inaccurate detection results, mainly due to the relatively weak ability to utilize context information and the inappropriate choice of offset references. This paper presents a novel text instance expression which integrates both foreground and baAndrogen 发表于 2025-3-24 07:30:12
Notch Signaling in Vascular Development15 script sub-types. Ground truth is manually created by a Hebrew paleographer at a page level. In addition, we propose a patch generation tool for extracting patches that contain an approximately equal number of text lines no matter the variety of font sizes. The VML-HP dataset contains a train setG-spot 发表于 2025-3-24 13:54:28
http://reply.papertrans.cn/29/2824/282313/282313_17.png轮流 发表于 2025-3-24 15:31:42
Shalini Jadeja,Marcus Fruttigers plays an important role in creating structured, searchable text-based representations after digitizing paper-based documents for example. Traditionally, text segmentation has been approached with sub-optimal feature engineering efforts and heuristic modelling. We propose a novel supervised trainin栏杆 发表于 2025-3-24 20:03:38
Translational Vascular Medicine of a person, frequently used in forensic document analysis. In the writer identification and verification scenario, the number of samples available for training is not always sufficient. Thus, in this work, we investigate the impact of the increase in the number of manuscript samples on the writer阶层 发表于 2025-3-24 23:23:34
https://doi.org/10.1007/978-3-030-86337-1artificial intelligence; character recognition; computational linguistics; computer science; computer sy