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A New Database for Writer Demographics Attributes Detection Based on Off-Line Persian and English Handwriting

Authors:

Hamid Reza Ghafari,

Chawki DjeddiAuthors Info & Claims

MedPRAI-2016: Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence

Pages 125 - 130

https://doi.org/10.1145/3038884.3038905

Published: 22 November 2016 Publication History

Abstract

This paper describes a database of multi-script (Persian and English) for typical and new aspects and challenges of offline handwriting automatic analysis field. This database can be used for typical aspects such as different levels of segmentation and recognition and writer identification in text-dependent and text-independent modes. Also, new aspects can be used such as writer identification and gender, age and handedness detection based on script-dependent and script-independent. Two pages of forms in three regions were designed and collected from 200 native Persian writers of different age, handednesses, genders and education level. To the best of our knowledge, so far no attempt has been conducted on providing Persian database for writer identification and gender, age and handedness detection based on script-dependent and script-independent in multi-script environment.

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Cited By

Semma AHannad YSiddiqi ILazrak SKettani M(2022)Feature learning and encoding for multi-script writer identificationInternational Journal on Document Analysis and Recognition (IJDAR)10.1007/s10032-022-00394-825:2(79-93)Online publication date: 14-Feb-2022
https://doi.org/10.1007/s10032-022-00394-8
Abbas FGattal ADjeddi CSiddiqi IBensefia ASaoudi K(2021)Texture feature column scheme for single‐ and multi‐script writer identificationIET Biometrics10.1049/bme2.1201010:2(179-193)Online publication date: 14-Feb-2021
https://doi.org/10.1049/bme2.12010
Djeddi CAl-Maadeed SSiddiqi IAbdeljalil GHe SAkbari Y(2018)ICFHR 2018 Competition on Multi-Script Writer Identification2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR)10.1109/ICFHR-2018.2018.00094(506-510)Online publication date: Aug-2018
https://doi.org/10.1109/ICFHR-2018.2018.00094

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Published In

cover image ACM Other conferences

MedPRAI-2016: Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence

November 2016

163 pages

ISBN:9781450348768

DOI:10.1145/3038884

General Chairs:
Chawki Djeddi
Larbi Tebessi University, Algeria
,
Imran Siddiqi
Bahria University, Pakistan
,
Akram Bennour
Larbi Tebessi University, Algeria
,
Program Chairs:
Youcef Chibani
University of Science and Technology Houari Boumediene, Algeria
,
Haikal El Abed
Technical Trainers College, German International Cooperation, Kingdom of Saudi Arabia

Copyright © 2016 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 November 2016

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MedPRAI-2016

MedPRAI-2016: Mediterranean Conference on Pattern Recognition and Artificial Intelligence

November 22 - 23, 2016

Tebessa, Algeria

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Cited By

Semma AHannad YSiddiqi ILazrak SKettani M(2022)Feature learning and encoding for multi-script writer identificationInternational Journal on Document Analysis and Recognition (IJDAR)10.1007/s10032-022-00394-825:2(79-93)Online publication date: 14-Feb-2022
https://doi.org/10.1007/s10032-022-00394-8
Abbas FGattal ADjeddi CSiddiqi IBensefia ASaoudi K(2021)Texture feature column scheme for single‐ and multi‐script writer identificationIET Biometrics10.1049/bme2.1201010:2(179-193)Online publication date: 14-Feb-2021
https://doi.org/10.1049/bme2.12010
Djeddi CAl-Maadeed SSiddiqi IAbdeljalil GHe SAkbari Y(2018)ICFHR 2018 Competition on Multi-Script Writer Identification2018 16th International Conference on Frontiers in Handwriting Recognition (ICFHR)10.1109/ICFHR-2018.2018.00094(506-510)Online publication date: Aug-2018
https://doi.org/10.1109/ICFHR-2018.2018.00094

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