A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Using local maxima profile and Piece-Wise technique for line segmentation on Thai handwritten historical documents
2011
2011 International Conference on Machine Learning and Cybernetics
This paper presents a new approach for segmenting text lines on Thai handwritten documents. The proposed technique is based on an Adaptive Local Connectivity Map concept using Piece-Wise Separating Lines. The algorithm is designed to solve problems in handwritten documents such as fluctuating text lines. Moreover, local maxima projection profile is used for enhancing the speed of extraction. The proposed algorithm consists of four steps. Firstly, Otsu algorithm is used to binarize the source
doi:10.1109/icmlc.2011.6016974
dblp:conf/icmlc/SangsawadCF11
fatcat:slbrzkucufaulm6rgc75h22hii