@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00201099, author = {Zhiyu, Zhang and Hiroyuki, Tomiyama and Lin, Meng and Zhiyu, Zhang and Hiroyuki, Tomiyama and Lin, Meng}, book = {じんもんこん2019論文集}, month = {Dec}, note = {As a vehicle for storing ancient historical and cultural information, rubbings have a wealth of potential knowledge. However, due to the blurriness and damage of the rubbing characters, a lot of noises in the background of the rubbings and the different grammatical structure of ancient Chinese and modern Chinese, now the rubbings are mostly manually transcribed by experts. In recent years, deep learning has made great achievements in object recognition, and researchers have begun to try to use deep learning to recognize ancient characters. Against such a backdrop, this paper proposes a method combining deep learning and lexical analysis to achieve automatic recognition of rubbing characters, and contributing to culture heritage protection and preservation. Part of rubbing of“Bei qi tian zhu shan” is used for characters recognition, and the experimental results proved the effectiveness of our proposal., As a vehicle for storing ancient historical and cultural information, rubbings have a wealth of potential knowledge. However, due to the blurriness and damage of the rubbing characters, a lot of noises in the background of the rubbings and the different grammatical structure of ancient Chinese and modern Chinese, now the rubbings are mostly manually transcribed by experts. In recent years, deep learning has made great achievements in object recognition, and researchers have begun to try to use deep learning to recognize ancient characters. Against such a backdrop, this paper proposes a method combining deep learning and lexical analysis to achieve automatic recognition of rubbing characters, and contributing to culture heritage protection and preservation. Part of rubbing of“Bei qi tian zhu shan” is used for characters recognition, and the experimental results proved the effectiveness of our proposal.}, pages = {231--238}, publisher = {情報処理学会}, title = {Combining Deep Learning and Lexical Analysis method for Rubbing Character Recognition}, volume = {2019}, year = {2019} }