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- W2499497688 abstract "In this paper, hierarchically represented Strip tree based feature extraction has been employed for offline Tamil handwritten recognition. Tamil handwritten character recognition is a challenging factor which gain more attention in the field of pattern recognition. Since Tamil language is rich in complex structures such as curves and loops, this work proposed a novel Strip tree to represent the curvy structure. So that more number of challenges could be addressed. A Strip tree representation resembles a hierarchical structure is used here to represent a single curve taken from pre-extracted features. This structure is represented in a tree form (hierarchical) to describe the features. Main novelty behind this paper is that all the curvy portions of character are addressed by the strip tree representation, where the height (level) of the tree gets increased when the curvy structure is complex. Later, vectors derived from the tree structure (Strip tree) are analyzed through a decision tree to predict the Tamil character. The final analysis shows that Strip tree yields high success rate in recognition. Since it able to address more number of shape variations." @default.
- W2499497688 created "2016-08-23" @default.
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- W2499497688 date "2016-01-01" @default.
- W2499497688 modified "2023-09-22" @default.
- W2499497688 title "Strip Tree Based Offline Tamil Handwritten Character Recognition" @default.
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- W2499497688 doi "https://doi.org/10.1007/978-3-319-30927-9_53" @default.
- W2499497688 hasPublicationYear "2016" @default.
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