A gray-scale image based character recognition algorithm to low quality and low-resolution images

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4307, Issue , 2001, Pages 315-322

  Wang, Xuewen ^a   Ding, Xiaoqing ^a   Liu, Changsong ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

DCT; Gray scale character recognition; LDA; Printed Chinese character recognition

Indexed keywords

ALGORITHMS; CAMERAS; FEATURE EXTRACTION; FREQUENCIES; IMAGE ANALYSIS; OPTICAL TRANSFER FUNCTION; PRINCIPAL COMPONENT ANALYSIS;

BLUR DISTORTION; LINEAR DISCRIMINANT ANALYSIS (LDA);

CHARACTER RECOGNITION;

EID: 0035062494     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.410851     Document Type: Article

References (13)

1. Direct gray-scale extraction of features for character recognition
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4. Modified quadratic discriminant functions and the application to Chinese character recognition
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6. Nonlinear shape normalization methods for gray-scale handwritten character recognition
7. Artificial neural networks for feature extraction and multivariate data projection
8. The method of threshold and peak detection based on histogram exponent smoothing
9. Goal-directed evaluation of binarization methods
10. High speed, high-accuracy binarization method for recognizing text in images of low spatial resolutions
11. A review on image segmentation techniques
12. Multi-scale feature extraction and nested-subset classifier design for high accuracy handwritten character recognition