DocumentCode :
3340776
Title :
A Model-Based Field Frame Detection for Handwritten Filled-in Forms
Author :
Perez-Cortes, Juan-Carlos ; Andreu, Luis ; Arlandis, Joaquim
Author_Institution :
Inst. Tecnol. de Inf., Univ. Politec. de Valencia, Valencia
fYear :
2008
fDate :
16-19 Sept. 2008
Firstpage :
362
Lastpage :
368
Abstract :
In this paper, a method for detection and model definition of field frames in forms intended for handwritten data input is presented. The pre-printed field frames are extracted and parameterized to contribute to several tasks in the context of high-volume data-entry form scanning: assistance to the operator in the process of form specification, fine location of the pre-printed field frames, frame dropout and character restoration in the frequent case that handwritten characters data cross the field boundaries. Examples on real forms with very different layouts and characteristics are presented.
Keywords :
document image processing; handwritten character recognition; image restoration; text analysis; character restoration; handwritten filled-in forms; high-volume data-entry form scanning; model-based field frame detection; preprinted field frames; Character generation; Color; Data mining; Databases; Government; Ink; Medical services; Optical character recognition software; Storage automation; Text analysis; Detection; Field; Forms; Frame; Handwrittem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis Systems, 2008. DAS '08. The Eighth IAPR International Workshop on
Conference_Location :
Nara
Print_ISBN :
978-0-7695-3337-7
Type :
conf
DOI :
10.1109/DAS.2008.54
Filename :
4669982
Link To Document :
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