Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

Cylindrical Medicine Bottle's Character Recognition of Automotive Dispensing Machine

Authors
Mingde Gong, Xianming Zhang, Tao Ni
Corresponding Author
Mingde Gong
Available Online November 2016.
DOI
10.2991/aiie-16.2016.53How to use a DOI?
Keywords
cylindrical; medicine; National Medicine Permit No.; recognition; OCR
Abstract

a new scheme was designed to recognize the medicine which was packed in small cylindrical bottle with a label on the surface. To recognize the label of medicine a new algorithm was needed, which was used to rectify the cylindrical character to plane one. According to the equations of the rectification algorithm, some related positons have to be design in a special structure. After having rectified the label, the technique of OCR or the algorithm SIFT (David Lowe) was referred to recognize the certain character of the medicine label. This scheme could use to recognize and sort the medicine in the automatic dispensing machine.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-271-8
ISSN
1951-6851
DOI
10.2991/aiie-16.2016.53How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Mingde Gong
AU  - Xianming Zhang
AU  - Tao Ni
PY  - 2016/11
DA  - 2016/11
TI  - Cylindrical Medicine Bottle's Character Recognition of Automotive Dispensing Machine
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 227
EP  - 230
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.53
DO  - 10.2991/aiie-16.2016.53
ID  - Gong2016/11
ER  -