High performance offline handwritten Chinese character recognition using GoogLeNet and directional feature maps

Research article (2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015) · cited 300× · AI/ML
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High performance offline handwritten Chinese character recognition using GoogLeNet and directional feature maps

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High performance offline handwritten Chinese character recognition using GoogLeNet and directional feature maps is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). High performance offline handwritten Chinese character recognition using GoogLeNet and directional feature maps. Retrieved May 24, 2026, from https://4ort.xyz/entity/high-performance-offline-handwritten-chinese-character-recognition-using-googlenet-and-directional-feature-maps
MLA “High performance offline handwritten Chinese character recognition using GoogLeNet and directional feature maps.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/high-performance-offline-handwritten-chinese-character-recognition-using-googlenet-and-directional-feature-maps.
BibTeX @misc{4ortxyz_high-performance-offline-handwritten-chinese-character-recognition-using-googlenet-and-directional-feature-maps_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{High performance offline handwritten Chinese character recognition using GoogLeNet and directional feature maps}}, year = {2026}, url = {https://4ort.xyz/entity/high-performance-offline-handwritten-chinese-character-recognition-using-googlenet-and-directional-feature-maps}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): High performance offline handwritten Chinese character recognition using GoogLeNet and directional feature maps — https://4ort.xyz/entity/high-performance-offline-handwritten-chinese-character-recognition-using-googlenet-and-directional-feature-maps (retrieved 2026-05-24)

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