Title | ||
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Text-independent writer identification using SIFT descriptor and contour-directional feature |
Abstract | ||
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This paper presents a method for text-independent writer identification using SIFT descriptor and contour-directional feature (CDF). The proposed method contains two stages. In the first stage, a codebook of local texture patterns is constructed by clustering a set of SIFT descriptors extracted from images. Using this codebook, the occurrence histograms are calculated to determine the similarities between different images. For each image, we obtain a candidate list of reference images. The next stage is to refine the candidate list using the contour-directional feature and SIFT descriptor. The proposed method is evaluated with two datasets: the ICFHR2012-Latin dataset and the ICDAR2013 dataset. Experimental results show that the proposed method outperforms the state-of-the-art algorithms and archives the best performance. |
Year | DOI | Venue |
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2015 | 10.1109/ICDAR.2015.7333732 | International Conference on Document Analysis and Recognition |
Keywords | Field | DocType |
Writer identification, text-independent, codebook, SIFT descriptor and contour-directional feature | Histogram,Computer vision,Scale-invariant feature transform,GLOH,Pattern recognition,Computer science,Artificial intelligence,Cluster analysis,Codebook | Conference |
ISSN | Citations | PageRank |
1520-5363 | 10 | 0.48 |
References | Authors | |
11 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yu-Jie Xiong | 1 | 14 | 1.21 |
Ying Wen | 2 | 22 | 5.85 |
patrick s p wang | 3 | 303 | 47.66 |
Yue Lu | 4 | 434 | 27.43 |