T. -N. YangSHENG-DE WANG2018-09-102018-09-102001-0101678655http://scholars.lib.ntu.edu.tw/handle/123456789/294608https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035096349&doi=10.1016%2fS0167-8655%2800%2900089-1&partnerID=40&md5=fd8e2c03af20deeaf50f5b8631459f16In this paper, we present an approach to construct an optical character recognition (OCR) system for recognizing rotated printed Chinese characters. Our system includes preprocessing, feature extraction, candidates selection, and target character recognition. The proposed system has a three-stage structure designed mainly to reduce the time complexity in the recognition process. Our goal is to recognize the complete set of frequently used 13 053 printed Chinese characters with arbitrary orientations. The overall recognition rate of our system reaches 97.4%. © 2001 Elsevier Science B.V. All rights reserved.In this paper, we present an approach to construct an optical character recognition (OCR) system for recognizing rotated printed Chinese characters. Our system includes preprocessing, feature extraction, candidates selection, and target character recognition. The proposed system has a three-stage structure designed mainly to reduce the time complexity in the recognition process. Our goal is to recognize the complete set of frequently used 13 053 printed Chinese characters with arbitrary orientations. The overall recognition rate of our system reaches 97.4%. © 2001 Elsevier Science B.V. All rights reserved.application/pdfapplication/pdfComputational complexity; Feature extraction; Image analysis; Image quality; Optical character recognition; Chinese character recognition system; Image Analysis; Pattern matching; pattern recognition[SDGs]SDG16Computational complexity; Feature extraction; Image analysis; Image quality; Optical character recognition; Chinese character recognition system; Image Analysis; Pattern matching; pattern recognitionjournal article10.1016/S0167-8655(00)00089-12-s2.0-0035096349WOS:000166752000001