A table-form extraction with artefact removal

Authors:
Luiz Antonio Pereira Neves;João Marques de Carvalho;Jacques Facon;Flávio Bortolozzi
Affiliations:
PUCPR -- Pontifícia Universidade, Brazil;UFCG -- Universidade Federal de, Campina Grande, Brazil;PUCPR -- Pontifícia Universidade, Brazil;PUCPR -- Pontifícia Universidade, Brazil
Venue:
Proceedings of the 2007 ACM symposium on Applied computing
Year:
2007

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Abstract

We present a novel methodology for extracting the structure of handwritten filled table-forms. The method identifies the table-form line intersections, detecting and correcting wrong intersections produced by faulty line segments or by table artefacts. Examples of artefacts are overlapping data, broken segments, and smudges. A novel method for artefact identification and deletion is also proposed. The last step performs the extraction of table-form cells. A database of 350 table-form images was used for evaluation, showing that the artefact identification method improves the performance of the table-forms structure extractor. The proposed approach reached a success rate of 85%.