2016 Conference on Advances in Signal Processing (CASP) 2016
DOI: 10.1109/casp.2016.7746128
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A framework for recognition of handwritten South Dravidian Tulu script

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Cited by 9 publications
(3 citation statements)
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“…Tulu scripts are rich in patterns, with many variations of related characters, and there are several Tulu historical records available in handwritten type. Preserving old files with readable and editable structures allows people to gain more experience Antony and Savitha (2016). Following that, future study directions on recognition and interpretation of the Tulu script are given.…”
Section: Review Of Literaturementioning
confidence: 99%
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“…Tulu scripts are rich in patterns, with many variations of related characters, and there are several Tulu historical records available in handwritten type. Preserving old files with readable and editable structures allows people to gain more experience Antony and Savitha (2016). Following that, future study directions on recognition and interpretation of the Tulu script are given.…”
Section: Review Of Literaturementioning
confidence: 99%
“…With the help of artificial intelligence, Shallow and deep machine learning techniques for recognizing offline handwritten characters of south Dravidian Tulu scripts are also used. It was found that Deep CNN outperforms shallow learning methods for isolated Tulu characters from modern texts, with a productivity of 98.49 % and 80.49% for isolated Tulu characters from Tulu palm leaf manuscripts Antony and Savitha (2016).…”
Section: Review Of Literaturementioning
confidence: 99%
“…Tulu scripts are rich in patterns, with many variations of related characters, and there are several Tulu historical records available in handwritten type. Preserving old files with readable and editable structures allows people to gain more experience (Antony & Savitha, 2016). Following that, future study directions on recognition and interpretation of the Tulu script are given.…”
Section: Review Of Literaturementioning
confidence: 99%