Creation of Uyghur Off-Line Handwritten Signature Database

DOI

10.2991/aiie-16.2016.92How to use a DOI?

Keywords

uyghur; off-line; handwritten signature; database

Abstract

Until now, there has not been any major international effort that aims at comparing different signature verification methods systematically. However, most of the disclosed handwritten signature database is based on Latin, Chinese, Arabic and other languages. So creation of Uyghur off-line signature database plays very important role in estimating and comparing research results that was achieved by different groups of researcher. In this paper, the signature samples are collected by different age's people. For off-line Uyghur signature recognition and verification research, there are 500 persons genuine signature. (20 samples of each person), 185 persons simple forgery signature and skilled forgery signature (20 samples of each person), in total 17400 signature samples were collected. Each handwriting signature samples is scanned, stored with bmp file, and pre-processed (such as graying, noise reduction and binarization etc).The Uyghur signatures database very useful for designing a signature recognition and verification system that is optimized to verify Uyghur signatures.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ahat Yimin
AU  - Zulpiya Gheni
AU  - Mahpirat
AU  - Yunus Aysa
AU  - Kurban Ubul
PY  - 2016/11
DA  - 2016/11
TI  - Creation of Uyghur Off-Line Handwritten Signature Database
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 401
EP  - 404
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.92
DO  - 10.2991/aiie-16.2016.92
ID  - Yimin2016/11
ER  -