Automated Degradation Diagnosis in Character Recognition System Subject to Camera Vibration
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Degradation diagnosis plays an important role for degraded character processing, which can tell the recognition difficulty of a given degraded character.
In this paper, we present a framework for automated degraded character recognition system by statistical syntactic approach using 3D primitive symbol, which is integrated by degradation diagnosis to provide accurate and reliable recognition results.
Our contribution is to design the framework to build the character recognition submodels corresponding to degradation subject to camera vibration or out of focus.
In each character recognition submodel, statistical syntactic approach using 3D primitive symbol is proposed to improve degraded character recognition performance.
In the experiments, we show attractive experimental results, highlighting the system efficiency and recognition performance by statistical syntactic approach using 3D primitive symbol on the degraded character dataset.
American Psychological Association (APA)
Liu, Chunmei. 2014. Automated Degradation Diagnosis in Character Recognition System Subject to Camera Vibration. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-505992
Modern Language Association (MLA)
Liu, Chunmei. Automated Degradation Diagnosis in Character Recognition System Subject to Camera Vibration. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-505992
American Medical Association (AMA)
Liu, Chunmei. Automated Degradation Diagnosis in Character Recognition System Subject to Camera Vibration. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-505992
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505992