A template-based method for identifying input regions in survey forms

P. H. Chien; G. C. Lee

doi:10.1134/S1054661811020210

A template-based method for identifying input regions in survey forms

P. H. Chien, G. C. Lee

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

This paper presents a template-based approach for survey form analysis. User input areas on the survey forms are identified. Regions of interest (ROI) include checkboxes, radio buttons, underlined and parenthesized handwritten regions. Scale invariant vertical and horizontal projection profile patterns for each of those four types of ROI are defined as matching templates. The templates are matched against projection profiles of connected components in the given survey form. Experiments with 158 different forms at 100-dpi scan resolution resulted in recognition rate of over 99%.

Original language	English
Pages (from-to)	469-472
Number of pages	4
Journal	Pattern Recognition and Image Analysis
Volume	21
Issue number	3
DOIs	https://doi.org/10.1134/S1054661811020210
Publication status	Published - 2011 Sept

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Computer Graphics and Computer-Aided Design

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author = "Chien, {P. H.} and Lee, {G. C.}",

note = "Funding Information: This research has been funded by the National Sci ences Council of Taiwan the republic of China, under the Grant no. NSC97 2511 S 003 007 M43 and MSC99 2631 S 003 002.",

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A template-based method for identifying input regions in survey forms

Abstract

ASJC Scopus subject areas

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