A bottom up procedure for text line segmentation of Latin script

Himanshu Jain; Archana Praveen Kumar

doi:10.1109/ICACCI.2017.8126002

A bottom up procedure for text line segmentation of Latin script

Himanshu Jain, Archana Praveen Kumar

Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper we present a bottom up procedure for segmentation of text lines written or printed in the Latin script. The proposed method uses a combination of image morphology, feature extraction and Gaussian mixture model to perform this task. The experimental results show the validity of the procedure.

Original language	English
Title of host publication	2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1182-1187
Number of pages	6
Volume	2017-January
ISBN (Electronic)	9781509063673
DOIs	https://doi.org/10.1109/ICACCI.2017.8126002
Publication status	Published - 30-11-2017
Event	2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India Duration: 13-09-2017 → 16-09-2017

Conference

Conference	2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
Country/Territory	India
City	Manipal, Mangalore
Period	13-09-17 → 16-09-17

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Information Systems

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10.1109/ICACCI.2017.8126002

Cite this

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title = "A bottom up procedure for text line segmentation of Latin script",

abstract = "In this paper we present a bottom up procedure for segmentation of text lines written or printed in the Latin script. The proposed method uses a combination of image morphology, feature extraction and Gaussian mixture model to perform this task. The experimental results show the validity of the procedure.",

author = "Himanshu Jain and Kumar, {Archana Praveen}",

year = "2017",

month = nov,

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doi = "10.1109/ICACCI.2017.8126002",

language = "English",

volume = "2017-January",

pages = "1182--1187",

booktitle = "2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 ; Conference date: 13-09-2017 Through 16-09-2017",

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Jain, H & Kumar, AP 2017, A bottom up procedure for text line segmentation of Latin script. in 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1182-1187, 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017, Manipal, Mangalore, India, 13-09-17. https://doi.org/10.1109/ICACCI.2017.8126002

A bottom up procedure for text line segmentation of Latin script. / Jain, Himanshu; Kumar, Archana Praveen.
2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 1182-1187.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Kumar, Archana Praveen

PY - 2017/11/30

Y1 - 2017/11/30

N2 - In this paper we present a bottom up procedure for segmentation of text lines written or printed in the Latin script. The proposed method uses a combination of image morphology, feature extraction and Gaussian mixture model to perform this task. The experimental results show the validity of the procedure.

AB - In this paper we present a bottom up procedure for segmentation of text lines written or printed in the Latin script. The proposed method uses a combination of image morphology, feature extraction and Gaussian mixture model to perform this task. The experimental results show the validity of the procedure.

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DO - 10.1109/ICACCI.2017.8126002

M3 - Conference contribution

AN - SCOPUS:85042742098

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EP - 1187

BT - 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 13 September 2017 through 16 September 2017

ER -

A bottom up procedure for text line segmentation of Latin script

Abstract

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All Science Journal Classification (ASJC) codes

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