Image classification for historical documents: a study on Chinese local gazetteers.

We present a novel approach for automatically classifying illustrations from historical Chinese local gazetteers using modern deep learning techniques. Our goal is to facilitate the digital organization and study of a large quantity of digitized local gazetteers. We evaluate the performance of eight...

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Detalles Bibliográficos

Publicado en:	Digital Scholarship in the Humanities Vol. 39; no. 1; pp. 61 - 74
Autores principales:	Chen, Jhe-An, Hou, Jen-Chien, Tsai, Richard Tzong-Han, Liao, Hsiung-Ming, Chen, Shih-Pei, Chang, Ming-Ching
Formato:	Artículo
Publicado:	Oxford University Press / USA Apr2024
Materias:	Image recognition (Computer vision) Artificial neural networks Historical source material Deep learning Art materials Digital humanities
Acceso en línea:	Ver este registro en EBSCOhost