A pseudo-skeletonization algorithm for static handwritten scripts

Nel, Emli-Mari; Preez, Johan A. du; Herbst, B. M.

doi:10.1007/s10032-009-0082-z

Cited by 4 publications

(2 citation statements)

References 31 publications

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“…In reality, some researchers [33][34][35] exclude unreliable skeleton segments from consideration whilst others treat those as clues and examine their internal structure carefully [3,36]. Researchers have also investigated specialized handwriting skeletonisation techniques [32,[37][38][39][40][41].…”

Section: Skeletonmentioning

confidence: 99%

Techniques for static handwriting trajectory recovery

Nguyen

Blumenstein

2010

Proceedings of the 9th IAPR International Workshop on Document Analysis Systems

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On-line handwriting recognition systems are usually better than their off-line counterparts thanks to the accessibility to dynamic information such as stroke order, velocity, acceleration, and pressure. Whilst the exact value of velocity as well as acceleration or pressure is unlikely to be recoverable, the temporal order of the strokes or the pen trajectory is shown to be more promising for recovery. The experimental results reported in the literature suggest that the recovered pen trajectory actually improves the off-line recognition accuracy. This survey presents an overview and discussion of pen trajectory recovery methods developed to date.

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Section: Skeletonmentioning

confidence: 99%

Techniques for static handwriting trajectory recovery

Nguyen

Blumenstein

2010

Proceedings of the 9th IAPR International Workshop on Document Analysis Systems

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“…However, the skeleton topology of most well-known algorithms always is resulted with a lot of ambiguous regions around the junction point. Therefore, in the field of trajectory recovery, some authors [6], [9]- [11] have tried to overcome problem of skeleton by creating specialized skeleton result for their own use. Nevertheless, this process makes their algorithm cost more processing time and complex to follow.…”

Section: Introductionmentioning

confidence: 99%

Correction of Text Character Skeleton for Effective Trajectory Recovery

Vu¹,

Na²,

Kim³

2015

International Journal of Contents

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A Graphic Matching Process for Searching and Retrieving Information in Digital Libraries of Manuscripts

Barbuti

Caldarola

Ferilli

2017

Communications in Computer and Information Science

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In 2018 the Italian Research Conference on Digital Libraries reached its 14th edition. Since 2005, it has served as an important national forum focused on digital libraries and related technical, practical, and social issues. IRCDL encompasses the various facets of the term "digital libraries," including: new forms of information institutions; operational information systems with multimodal digital content; new means of selecting, collecting, organizing, and distributing digital content; and theoretical models of information media, including document genres and electronic publishing. The conference continues, year after year, to address new themes and challenges that witness the long-lasting evolution and impact of digital libraries. Representatives from academia, government, industry, and others are invited to participate in this annual conference. The conference draws from a broad and multidisciplinary array of research areas including computer science, information science, librarianship, archival science and practice, museum studies and practice, technology, social sciences, and humanities. The national Program Committee comprised 32 members, with representatives of the most active Italian research groups on digital libraries. This volume contains the accepted papers at the 14th Italian Research Conference on Digital Libraries (IRCDL 2018), which was held at the Palazzo di Toppo Wassermann in Udine (Italy) during January 25-26, 2018. Starting from 30 submissions, after receiving three reviews per paper, 25 papers were presented to the conference and were accepted to be published in this volume. The covered topics are related to the different aspects of digital libraries:

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A pseudo-skeletonization algorithm for static handwritten scripts

Cited by 4 publications

References 31 publications

Techniques for static handwriting trajectory recovery

Techniques for static handwriting trajectory recovery

Correction of Text Character Skeleton for Effective Trajectory Recovery

A Graphic Matching Process for Searching and Retrieving Information in Digital Libraries of Manuscripts

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