Rule-based optical character recognition for serial number on Renminbi banknote

Yu Shiuan Tsai, Yi Yu Hsieh, Chih Hui Ho, Ya Ching Chang, Yao Yuan Chang, Heng Jyun Lin, Han Yang Wang, Yu Chen Chou, Jen-Hui Chuang

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations


A rule-based optical character recognition system for the recognition of serial number on Renminbi (RMB) banknote is presented. It is based on the observation that the characters, including English letters and numbers, can be classified using two hand-crafted features, which are the opening and the loop. Each character has certain characteristics in terms of those two features and classification is achieved following the proposed scheme. The proposed system has been tested on 2245 RMB bills, which contain 22313 characters, and accomplished 99.35% for horizontal characters and 99.84% for vertical characters under 30ms processing time per banknote.

Original languageEnglish
Article number308
JournalIS and T International Symposium on Electronic Imaging Science and Technology
StatePublished - 1 Jan 2018
Event16th Image Processing: Algorithms and Systems Symposium 2018 - Burlingame, United States
Duration: 28 Jan 20181 Feb 2018


  • Character recognition
  • Feature extraction
  • Optical character recognition software
  • Serial number recognition
  • Text recognition


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