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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Method to Remove Handwritten Texts Using Smart Phone
Author NameAffiliationPostcode
Haiquan Fang* Zhejiang University of Technology 310023
Abstract:
To remove handwritten texts from an image of a document taken by smart phone, an intelligent removal method was proposed that combines dewarping and Fully Convolutional Network with Atrous Convolutional and Atrous Spatial Pyramid Pooling (FCN-AC-ASPP). For a picture taken by a smart phone, firstly, the image is transformed into a regular image by the dewarping algorithm. Secondly, the FCN-AC-ASPP is used to classify printed texts and handwritten texts. Lastly, handwritten texts can be removed by a simple algorithm. Experiments show that the classification accuracy of the FCN-AC-ASPP is better than FCN, DeeplabV3+, FCN-AC. For handwritten texts removal effect, the method of combining dewarping and FCN-AC-ASPP is superior to FCN-AC-ASP alone.
Key words:  handwritten texts  printed texts  classification  FCN-AC-ASPP  smart phone
DOI：10.11916/j.issn.1005-9113.23017
Clc Number:TP39
Fund:

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