DocumentCode
1638559
Title
Form Field Frame Boundary Removal for Form Processing System in Gurmukhi Script
Author
Sharma, Dharam Veer ; Lehal, Gurpreet Singh
Author_Institution
Dept. of Comput. Sci., Punjabi Univ., Patiala, India
fYear
2009
Firstpage
256
Lastpage
260
Abstract
Machine recognition of hand-filled forms is a challenging task. Form processing involves many activities including form field location, field frame boundary removal and data image extraction, segmentation, feature extraction, classification and recognition. The paper proposes an algorithm for removal of the field frame boundary of the hand filled forms in Gurmukhi Script. Because of the structural characteristics of the Gurmukhi script, use of headline and varied writing styles, the filled data may overlap or get merged with the field frame boundaries, which make the field data extraction task very challenging. It becomes particularly difficult to remove the field frame boundaries while preserving the filled in data. Experimental results reveal the efficiency of the proposed method in removing the field frame boundary and extracting the field data from form documents. Though, the algorithm has been developed and tested for Gurmukhi script but with minor or no changes it can be applied to scripts having structural features similar to that of Gurmukhi script, like Bangla and Devnagari.
Keywords
feature extraction; image recognition; image segmentation; Gurmukhi script; data image extraction; data image segmentation; feature extraction; field data extraction; field frame boundaries; field location; form field frame boundary removal; form processing system; hand-filled forms; image classification; image recognition; machine recognition; structural characteristics; Character recognition; Computer science; Data mining; Feature extraction; Image recognition; Image segmentation; Speech recognition; Testing; Text analysis; Writing; Form Field Frame Boundary Removal; Form Processing; Gurmukhi Script;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location
Barcelona
ISSN
1520-5363
Print_ISBN
978-1-4244-4500-4
Electronic_ISBN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2009.179
Filename
5277712
Link To Document