DocumentCode :
131471
Title :
Automatic Recognition Method for Checkbox in Data Form Image
Author :
Zhang Shengnan ; Yuan Shanlei ; Niu Lianqiang
Author_Institution :
Shenyang Univ. of Technol., Shenyang, China
fYear :
2014
fDate :
10-11 Jan. 2014
Firstpage :
159
Lastpage :
162
Abstract :
The checkbox recognition is the key question in the automatic processing of data form based on image recognition. This paper proposes an automatic recognition method for checkbox, which can effectively solve the problems, such as border rupture, adhesion of table lines with handwritten symbol. First of all, this method uses the maximum tilt angle of table-run for fast skew detection and correction of form image, then adopts the connected domain labeling algorithm to rapidly locate the checkbox and extract the standard image of handwritten symbol. Finally the structuhandwritten symbol recognitionre features of the above standard image are integrated to realize handwritten symbol recognition. The experiments show that the proposed method has high quality and efficiency of recognition.
Keywords :
feature extraction; handwritten character recognition; image recognition; object detection; automatic recognition method; border rupture; checkbox recognition; connected domain labeling algorithm; data form automatic processing; data form image; form image correction; handwritten symbol recognition; image recognition; skew detection; standard image structure features; table lines adhesion; table-run maximum tilt angle; Automation; Mechatronics; Checkbox Recognition; Connected Domain; Data Form; Handwritten Symbol; Run;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-1-4799-3434-8
Type :
conf
DOI :
10.1109/ICMTMA.2014.42
Filename :
6802658
Link To Document :
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