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Disambiguation of "Nakagawa, Masaki"

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Character Shape Restoration of Binarized Historical Documents by Smoothing via Geodesic Morphology.

, , , , , , , and . ICDAR, page 1285-1289. IEEE Computer Society, (2013)

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Koshiro Nakagawa

Masaki Nakajima

Julia Nakagawa

Kumiko Nakagawa

Yôichi Nakagawa

 

Other publications of authors with the same name

The Impact of Large Training Sets on the Recognition Rate of Offline Japanese Kanji Character Classifiers., and . Document Analysis Systems, volume 2423 of Lecture Notes in Computer Science, page 106-110. Springer, (2002)Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition., , and . Document Analysis Systems, volume 3872 of Lecture Notes in Computer Science, page 208-219. Springer, (2006)Accumulated-Recognition-Rate Normalization for Combining Multiple On/Off-Line Japanese Character Classifiers Tested on a Large Database., , and . Multiple Classifier Systems, volume 2709 of Lecture Notes in Computer Science, page 196-205. Springer, (2003)Interactive User Interface for Recognizing Online Handwritten Mathematical Expressions and Correcting Misrecognition., , and . OST@ICDAR, page 26-30. IEEE, (2019)An Off-line Character Recognition Method Employing Model-dependent Pattern Normalization by an Elastic Membrane Model., , and . ICDAR, page 495-498. IEEE Computer Society, (1999)A search method for on-line handwritten text employing writing-box-free handwriting recognition., , , and . IWFHR, page 545-550. IEEE Computer Society, (2004)Improving the structuring search space method for accelerating large set character recognition., and . IWFHR, page 251-256. IEEE Computer Society, (2004)Large Improvement in Line-Direction-Free and Character-Orientation-Free On-Line Handwritten Japanese Text Recognition., , and . ICFHR, page 329-334. IEEE Computer Society, (2014)Principles of pen interface design for creative work., , , and . ICDAR, page 718-721. IEEE Computer Society, (1993)Incremental Teacher Model with Mixed Augmentations and Scheduled Pseudo-label Loss for Handwritten Text Recognition., , , , , , and . ICDAR (4), volume 14190 of Lecture Notes in Computer Science, page 287-301. Springer, (2023)