Gap metrics for handwritten Korean word segmentation

Kim, S.H.; Jeong, Seungtaek; Lee, G.S.; Suen, Ching Y.

doi:10.1049/el:20010596

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Segmentation Of Electronic Ink2

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Cited by 3 publications

(2 citation statements)

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“…Some segmentation methods that divided on-line or off-line handwritten data into a word unit have been suggested [14,15]. It is known that the segmentation using convex hull gives the best result in Korean scripts [14].…”

Section: Segmentation Of Electronic Inkmentioning

confidence: 99%

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A new gesture recognition algorithm and segmentation method of Korean scripts for gesture-allowed ink editor

Cho

2006

Information Sciences

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Section: Segmentation Of Electronic Inkmentioning

confidence: 99%

“…It is known that the segmentation using convex hull gives the best result in Korean scripts [14]. This maybe due to the rectangular nature of Korean symbols.…”

Section: Segmentation Of Electronic Inkmentioning

confidence: 99%

A new gesture recognition algorithm and segmentation method of Korean scripts for gesture-allowed ink editor

Cho

2006

Information Sciences

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Recognition of Bangla Handwriting: Current Status and Future Directions

Bhattacharya¹,

Parui²,

Chaudhuri³

2014

Advances in Digital Document Processing and Retrieval

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Text area detection in handwritten documents scanned for further processing

Pach

Antoniuk

Krupa

2020

MG&V

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In this paper we present an approach to text area detection using binary images, Constrained Run Length Algorithm and other noise reduction methods of removing the artefacts. Text processing includes various activities, most of which are related to preparing input data for further operations in the best possible way, that will not hinder the OCR algorithms. This is especially the case when handwritten manuscripts are considered, and even more so with very old documents. We present our methodology for text area detection problem, which is capable of removing most of irrelevant objects, including elements such as page edges, stains, folds etc. At the same time the presented method can handle multi-column texts or varying line thickness. The generated mask can accurately mark the actual text area, so that the output image can be easily used in further text processing steps.

show abstract

Gap metrics for handwritten Korean word segmentation

Abstract: This paper describes a gap-based method for the segmentation of handwritten Korean text lines into separate words. Three kinds of gap metrics have been evaluated to see how much the gap information contributes to the task of handwritten Korean word segmentation.

Cited by 3 publications

References 5 publications

A new gesture recognition algorithm and segmentation method of Korean scripts for gesture-allowed ink editor

A new gesture recognition algorithm and segmentation method of Korean scripts for gesture-allowed ink editor

Recognition of Bangla Handwriting: Current Status and Future Directions

Text area detection in handwritten documents scanned for further processing

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