A rotation invariant printed Chinese character recognition system
Resource
Pattern Recognition Letters 22 (2): 85-95
Journal
Pattern Recognition Letters
Journal Volume
22
Journal Issue
2
Pages
85-95
Date Issued
2001-01
Author(s)
T. -N. Yang
Abstract
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.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.
Subjects
Computational complexity; Feature extraction; Image analysis; Image quality; Optical character recognition; Chinese character recognition system; Image Analysis; Pattern matching; pattern recognition
SDGs
Other Subjects
Computational complexity; Feature extraction; Image analysis; Image quality; Optical character recognition; Chinese character recognition system; Image Analysis; Pattern matching; pattern recognition
Type
journal article