Semi-automatic ground truth generation for chart image recognition

Authors:
Li Yang;Weihua Huang;Chew Lim Tan
Affiliations:
School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore;School of Computing, National University of Singapore, Singapore
Venue:
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Year:
2006

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Abstract

While research on scientific chart recognition is being carried out, there is no suitable standard that can be used to evaluate the overall performance of the chart recognition results. In this paper, a system for semi-automatic chart ground truth generation is introduced. Using the system, the user is able to extract multiple levels of ground truth data. The role of the user is to perform verification and correction and to input values where necessary. The system carries out automatic tasks such as text blocks detection and line detection etc. It can effectively reduce the time to generate ground truth data, comparing to full manual processing. We experimented the system using 115 images. The images and ground truth data generated are available to the public.