Word of blobs

Jihad El-Sana; Klara Kedem

doi:10.1109/ICDAR.2015.7333915

Word of blobs

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

Abstract

In this paper, we present a novel scheme for subdividing a pictorial representation of a word or word-part into a sequence of blobs, that resemble the stroke representing the word. These blobs are generated by applying a bank of Gabor filters that capture the width of the strokes in multiple directions and segment the strong response regions. From the resulting blobs we extract representative features that are combined using bag-of-features. The proposed scheme is robust; i.e., insensitive to noise, and works directly on gray scale images. It represents the handwritten curves as a sequence of elliptic blobs, whose width is similar to that of the original handwriting. We incorporated the proposed approach in word spotting procedure and evaluated its performance on Arabic handwritten datasets.

Original language	English
Title of host publication	13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers
Pages	1016-1020
Number of pages	5
ISBN (Electronic)	9781479918058
DOIs	https://doi.org/10.1109/ICDAR.2015.7333915
State	Published - 20 Nov 2015
Event	13th International Conference on Document Analysis and Recognition, ICDAR 2015 - Nancy, France Duration: 23 Aug 2015 → 26 Aug 2015

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2015-November
ISSN (Print)	1520-5363

Conference

Conference	13th International Conference on Document Analysis and Recognition, ICDAR 2015
Country/Territory	France
City	Nancy
Period	23/08/15 → 26/08/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICDAR.2015.7333915

Cite this

El-Sana, J., & Kedem, K. (2015). Word of blobs. In 13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings (pp. 1016-1020). Article 7333915 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2015-November). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICDAR.2015.7333915

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title = "Word of blobs",

abstract = "In this paper, we present a novel scheme for subdividing a pictorial representation of a word or word-part into a sequence of blobs, that resemble the stroke representing the word. These blobs are generated by applying a bank of Gabor filters that capture the width of the strokes in multiple directions and segment the strong response regions. From the resulting blobs we extract representative features that are combined using bag-of-features. The proposed scheme is robust; i.e., insensitive to noise, and works directly on gray scale images. It represents the handwritten curves as a sequence of elliptic blobs, whose width is similar to that of the original handwriting. We incorporated the proposed approach in word spotting procedure and evaluated its performance on Arabic handwritten datasets.",

author = "Jihad El-Sana and Klara Kedem",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 13th International Conference on Document Analysis and Recognition, ICDAR 2015 ; Conference date: 23-08-2015 Through 26-08-2015",

year = "2015",

month = nov,

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doi = "10.1109/ICDAR.2015.7333915",

language = "English",

series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",

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El-Sana, J & Kedem, K 2015, Word of blobs. in 13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings., 7333915, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2015-November, Institute of Electrical and Electronics Engineers, pp. 1016-1020, 13th International Conference on Document Analysis and Recognition, ICDAR 2015, Nancy, France, 23/08/15. https://doi.org/10.1109/ICDAR.2015.7333915

Word of blobs. / El-Sana, Jihad ; Kedem, Klara.
13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings. Institute of Electrical and Electronics Engineers, 2015. p. 1016-1020 7333915 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2015-November).

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

TY - GEN

T1 - Word of blobs

AU - El-Sana, Jihad

AU - Kedem, Klara

PY - 2015/11/20

Y1 - 2015/11/20

N2 - In this paper, we present a novel scheme for subdividing a pictorial representation of a word or word-part into a sequence of blobs, that resemble the stroke representing the word. These blobs are generated by applying a bank of Gabor filters that capture the width of the strokes in multiple directions and segment the strong response regions. From the resulting blobs we extract representative features that are combined using bag-of-features. The proposed scheme is robust; i.e., insensitive to noise, and works directly on gray scale images. It represents the handwritten curves as a sequence of elliptic blobs, whose width is similar to that of the original handwriting. We incorporated the proposed approach in word spotting procedure and evaluated its performance on Arabic handwritten datasets.

AB - In this paper, we present a novel scheme for subdividing a pictorial representation of a word or word-part into a sequence of blobs, that resemble the stroke representing the word. These blobs are generated by applying a bank of Gabor filters that capture the width of the strokes in multiple directions and segment the strong response regions. From the resulting blobs we extract representative features that are combined using bag-of-features. The proposed scheme is robust; i.e., insensitive to noise, and works directly on gray scale images. It represents the handwritten curves as a sequence of elliptic blobs, whose width is similar to that of the original handwriting. We incorporated the proposed approach in word spotting procedure and evaluated its performance on Arabic handwritten datasets.

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U2 - 10.1109/ICDAR.2015.7333915

DO - 10.1109/ICDAR.2015.7333915

M3 - Conference contribution

AN - SCOPUS:84962589604

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EP - 1020

BT - 13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers

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Y2 - 23 August 2015 through 26 August 2015

ER -

Word of blobs

Abstract

Publication series

Conference

UN SDGs

ASJC Scopus subject areas

Access to Document

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