Relative Positioning of Stroke Based Clustering: A New Approach to On-line Handwritten Devanagari Character Recognition
Identifieur interne : 001C48 ( Main/Exploration ); précédent : 001C47; suivant : 001C49Relative Positioning of Stroke Based Clustering: A New Approach to On-line Handwritten Devanagari Character Recognition
Auteurs : Santosh K. C. [France] ; Cholwich Nattee [Thaïlande] ; Bart Lamiroy [France]Source :
- International Journal of Image and Graphics [ 0219-4678 ] ; 2012-01-13.
English descriptors
- mix :
Abstract
In this paper, we propose a new scheme for Devanagari natural handwritten character recognition. It is primarily based on spatial similarity based stroke clustering. A feature of a stroke consists of a string of pen-tip positions and directions at every pen-tip position along the trajectory. It uses the dynamic time warping (DTW) algorithm to align handwritten strokes with stored stroke templates and determine their similarity. Experiments are carried out with the help of 25 native writers and a recognition rate of approximately 95% is achieved. Our recogniser is robust to a large range of writing style and handles variation in the number of strokes, their order, shapes and sizes and similarities among classes.
Url:
Affiliations:
- France, Thaïlande
- Grand Est, Lorraine (région)
- Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Lorraine
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Le document en format XML
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type="datePub">2012-01-13</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Clustering</term><term>DTW</term><term>On-line Devanagari Character Recognition</term><term>On-line Devanagari Character Recognition.</term><term>Spatial Relations</term><term>Stroke Number and Order Free</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper, we propose a new scheme for Devanagari natural handwritten character recognition. It is primarily based on spatial similarity based stroke clustering. A feature of a stroke consists of a string of pen-tip positions and directions at every pen-tip position along the trajectory. It uses the dynamic time warping (DTW) algorithm to align handwritten strokes with stored stroke templates and determine their similarity. Experiments are carried out with the help of 25 native writers and a recognition rate of approximately 95% is achieved. Our recogniser is robust to a large range of writing style and handles variation in the number of strokes, their order, shapes and sizes and similarities among classes.</div></front></TEI><affiliations><list><country><li>France</li><li>Thaïlande</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="K C, Santosh" sort="K C, Santosh" uniqKey="K C S" first="Santosh" last="K. C.">Santosh K. C.</name></region><name sortKey="Lamiroy, Bart" sort="Lamiroy, Bart" uniqKey="Lamiroy B" first="Bart" last="Lamiroy">Bart Lamiroy</name></country><country name="Thaïlande"><noRegion><name sortKey="Nattee, Cholwich" sort="Nattee, Cholwich" uniqKey="Nattee C" first="Cholwich" last="Nattee">Cholwich Nattee</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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