A System for Interpretation of Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Layout-Based Approach for Extracting Constructive Elements of Bar-Charts
GREC '97 Selected Papers from the Second International Workshop on Graphics Recognition, Algorithms and Systems
Model-based chart image classification
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Twelve years of diagrams research
Journal of Visual Languages and Computing
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Bar charts are common data representations in scientific and technical papers. In order to recognize the printed bar charst, we present a new Hough based bar chart recognition algorithm which combines syntactic analysis into segmentation. We first detect the most salient feature in any bar chart, bar patterns, using syntactic analysis in the Hough domain. Then we group text primitives according to their centroids distribution in the Hough space. Finally, we interweave the two extracting processes to refine the recognition results. Our recognition algorithm is not dependent heavily on a priori knowledge and can recognize bar charts lying in arbitrary directions, such as oblique or skewed bar charts, or even hand-drawn bar charts.