Ensemble Methods for Handwritten Text Line Recognition Systems

2006 ◽  
Author(s):  
R. Bertolami ◽  
H. Bunke
Keyword(s):  
Ensemble Methods ◽  
Text Line ◽  
Handwritten Text ◽  
Recognition Systems

INTEGRATION OF n-GRAM LANGUAGE MODELS IN MULTIPLE CLASSIFIER SYSTEMS FOR OFFLINE HANDWRITTEN TEXT LINE RECOGNITION

2008 ◽  
Vol 22 (07) ◽  
pp. 1301-1321 ◽  
Author(s):  
ROMAN BERTOLAMI ◽  
HORST BUNKE
Keyword(s):  
Language Model ◽  
Language Models ◽  
Combination Method ◽  
Text Line ◽  
Multiple Classifier Systems ◽  
Classifier Systems ◽  
Handwritten Text ◽  
Handwritten Text Recognition ◽  
Multiple Classifier ◽  
N Gram

Current multiple classifier systems for unconstrained handwritten text recognition do not provide a straightforward way to utilize language model information. In this paper, we describe a generic method to integrate a statistical n-gram language model into the combination of multiple offline handwritten text line recognizers. The proposed method first builds a word transition network and then rescores this network with an n-gram language model. Experimental evaluation conducted on a large dataset of offline handwritten text lines shows that the proposed approach improves the recognition accuracy over a reference system as well as over the original combination method that does not include a language model.

Graphic line extraction as an important element of handwriting analysis

2016 ◽  
Vol 293 ◽  
pp. 81-85
Author(s):  
Mieczysław Goc ◽  
◽  
Krystyn Łuszczuk ◽  
Andrzej Łuszczuk ◽  
◽  
...  
Keyword(s):  
Computer Application ◽  
Text Line ◽  
Handwriting Analysis ◽  
Line Extraction ◽  
Handwritten Text

The article presents the capabilities and operating procedures of a computer application EDYTOR, dedicated for easy separation of the handwritten text line from the background containing elements interfering with the examined object. The application, developed by a team of specialists from the Polish Forensic Association, is mainly used in handwriting analysis.

scholarly journals Unconstrained Handwritten Text Line Segmentation for Kannada Language

2019 ◽  
Vol 8 (12) ◽  
pp. 953-956
Keyword(s):  
Character Recognition ◽  
Recognition System ◽  
Text Line ◽  
Connected Component ◽  
Horizontal Projection ◽  
Text Documents ◽  
Handwritten Text ◽  
Kannada Language ◽  
System Separation ◽  
Line Segmentation

Segmentation is division of something into smaller parts and one of the Component of character recognition system. Separation of characters, words and lines are done in Segmentation from text documents. character recognition is a process which allows computers to recognize written or printed characters such as numbers or letters and to change them into a form that the computer can use. the accuracy of OCR system is done by taking the output of an OCR run for an image and comparing it to the original version of the same text. The main aim of this paper is to find out the various text line segmentations are Projection profiles, Weighted Bucket Method. Proposed method is horizontal projection profile and connected component method on Handwritten Kannada language. These methods are used for experimentation and finally comparing their accuracy and results.

Combining diverse on-line and off-line systems for handwritten text line recognition

2009 ◽  
Vol 42 (12) ◽  
pp. 3254-3263 ◽  
Author(s):  
Marcus Liwicki ◽  
Horst Bunke
Keyword(s):  
Text Line ◽  
Handwritten Text ◽  
On Line

Handwritten Text Line Recognition Using Deep Learning

2021 ◽  
pp. 567-580
Author(s):  
Punit Mestha ◽  
Shoaib Asif ◽  
Mansi Mayekar ◽  
Piyush Singh ◽  
Sonal Hutke
Keyword(s):  
Deep Learning ◽  
Text Line ◽  
Handwritten Text
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