Title :
Pre-Printed and Hand-Filled Table-Form Analysis Aiming Cell Extraction
Author :
Felipe, Rafaela Dandolini ; Neves, Luiz Antonio Pereira
Author_Institution :
PUCPR, Pontifical Catholic Univ. of Parana, Parana
Abstract :
This paper presents an approach to extract the structure of pre-printed and hand-filled table-forms. The first module performs the cell identification based on Watershed transform. A second module detects the wrong cells produced by handwritten and/or pre-printed data. In this module, wrong cells and other cells are filtered by a compactness, perimeter and area analysis. In a third module, the wrong cells are merged with other cells to determine the exact structure. A miscellaneous database composed of 300 pre-printed and hand-filled table-form images was used to evaluate the efficiency of our methodology. Experiments showed significant and promising results.
Keywords :
document image processing; edge detection; feature extraction; visual databases; cell extraction; hand-filled table-form analysis; pre-printed table-form analysis; watershed transform; Data mining; Gray-scale; Image databases; Image recognition; Image segmentation; Lakes; Pollution; Surface morphology; Surface topography; Text analysis; Image processing; Pattern recognition; Table-form document;
Conference_Titel :
Document Analysis Systems, 2008. DAS '08. The Eighth IAPR International Workshop on
Conference_Location :
Nara
Print_ISBN :
978-0-7695-3337-7
DOI :
10.1109/DAS.2008.46