2020 Asia Conference on Computers and Communications (ACCC) 2020
DOI: 10.1109/accc51160.2020.9347895
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Optical Character Recognition for Printed Javanese Script Using Projection Profile Segmentation and Nearest Centroid Classifier

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Cited by 6 publications
(6 citation statements)
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“…Projection profiles are generally used for image segmentation. This method has been widely used by previous researchers for line segmentation [22], [23]. The projection profile performs statistical calculations on object pixels according to the horizontal and vertical directions.…”
Section: Profile Projection Histogram (Pph)mentioning
confidence: 99%
“…Projection profiles are generally used for image segmentation. This method has been widely used by previous researchers for line segmentation [22], [23]. The projection profile performs statistical calculations on object pixels according to the horizontal and vertical directions.…”
Section: Profile Projection Histogram (Pph)mentioning
confidence: 99%
“…Preservation activities can be preventive, namely preventive activities with the aim of extending a document's life. This activity is in the form of maintaining, caring for, monitoring periodically, and preventing physical damage caused by chemical, biological factors, and so on, as well as curative preservation, namely activities to restore damaged documents to be good again, repairs, deacidification functions, lamination and so on (Kuswara, 2018;Mahastama, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Other researchers explored methods for developing an OCR system for Sanskrit Manuscripts, using conventional feature extraction, heuristic methods, and machine learning approaches such as CNN, LSTM, or Bidirectional LSTM [11]. An OCR system for Javanese Script was created using Projection Profile Segmentation and Nearest Centroid Classifier, achieving a 93.88% success rate for line segmentation and 73.59% success rate for character segmentation, with a classification accuracy of 60.6% [12]. The Faster Region-based Convolutional Neural Network (Faster R-CNN) has also been employed in Javanese script detection, achieving accuracy ranging from 41.67% to 96.31% [13].…”
Section: Introductionmentioning
confidence: 99%