Southeast Asian palm leaf manuscript images: a review of handwritten text line segmentation methods and new challenges-Reference-Cited by-同舟云学术

Southeast Asian palm leaf manuscript images: a review of handwritten text line segmentation methods and new challenges

Published:2016-11-17 Issue:1 Volume:26 Page:011011
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:en
Short-container-title:J. Electron. Imaging

Author:

Kesiman Made Windu Antara¹,Valy Dona²,Burie Jean-Christophe³,Paulus Erick⁴,Sunarya I. Made Gede⁵,Hadi Setiawan⁴,Sok Kim Heng⁶,Ogier Jean-Marc³

Affiliation:

1. University of La Rochelle, Laboratoire Informatique Image Interaction (L3i), Avenue Michel Crépeau 17042, La Rochelle Cedex 1, FrancebUniversity of Pendidikan Ganesha, Laboratory of Cultural Informatics, Jalan Udayana No. 11, Singaraja, Bali, Indonesia

2. Institute of Technology of Cambodia, Department of Information and Communication Engineering, Pochentong Boulevard, BP 86, Phnom Penh, CambodiadUniversité Catholique de Louvain, Institute of Information and Communication Technologies, Electronic, and Applied Mathematics, Place du Levant 3, Louvain-la-Neuve 1348, Belgium

3. University of La Rochelle, Laboratoire Informatique Image Interaction (L3i), Avenue Michel Crépeau 17042, La Rochelle Cedex 1, France

4. University of Padjadjaran, Robotics, Artificial Intelligence, and Digital Image Laboratory, Jalan Raya Bandung Sumedang, KM 21, Jatinangor 45363, Indonesia

5. University of Pendidikan Ganesha, Laboratory of Cultural Informatics, Jalan Udayana No. 11, Singaraja, Bali, Indonesia

6. Institute of Technology of Cambodia, Department of Information and Communication Engineering, Pochentong Boulevard, BP 86, Phnom Penh, Cambodia

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference29 articles.

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4. A new methodology for gray-scale character segmentation and recognition

5. Invariant Moments Based Feature Extraction for Handwritten Devanagari Vowels Recognition

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