Images with hidden information data set for information retrieval usage

被引：0

作者：

Pangestu, Peter ^{[1
]}

Gunawan, Dennis ^{[1
]}

Hansun, Seng ^{[1
]}

机构：

[1] Univ Multimedia Nusantara, Dept Informat, Tangerang, Indonesia

来源：

DATA IN BRIEF | 2019年 / 26卷

关键词：

Hidden messages; Histogram equalization; Images; Information retrieval; OCR;

D O I：

10.1016/j.dib.2019.104397

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The main task in Optical Character Recognition (OCR) is to get and convert all the text characters on an image as a plain text data. However, if the image has low contrast and low exposure, an issue may occur. The characters may be hidden and can't be recovered completely. One solution that has been done and reported in 2017 is by applying histogram equalization as a pre-processing step in OCR. Here, we deliver a total of 30 sample data, some of which had been used on the research's experiment reported in 2017, and some others were added later. (C) 2019 The Author(s). Published by Elsevier Inc.

引用

页数：13