Journal
ARTIFICIAL INTELLIGENCE REVIEW
Volume 42, Issue 2, Pages 253-273Publisher
SPRINGER
DOI: 10.1007/s10462-012-9337-z
Keywords
Learning algorithms; Preprocessing; Features selection; Slant correction; Line removal; Text differentiation
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Funding
- TWAS fellowship cycle
- Higher Education Commission of Pakistan
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Neural network are most popular in the research community due to its generalization abilities. Additionally, it has been successfully implemented in biometrics, features selection, object tracking, document image preprocessing and classification. This paper specifically, clusters, summarize, interpret and evaluate neural networks in document Image preprocessing. The importance of the learning algorithms in neural networks training and testing for preprocessing is also highlighted. Finally, a critical analysis on the reviewed approaches and the future research guidelines in the field are suggested.
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