Amharic document image retrieval using morphological coding

2012 ◽  
Author(s):  
Tilahun Yeshambel ◽  
Yaregal Assabie
Keyword(s):  
Image Retrieval ◽  
Document Image

scholarly journals A comparative study of different texture features for document image retrieval

2019 ◽  
Vol 121 ◽  
pp. 97-114 ◽  
Author(s):  
Fahimeh Alaei ◽  
Alireza Alaei ◽  
Umapada Pal ◽  
Michael Blumenstein
Keyword(s):  
Comparative Study ◽  
Image Retrieval ◽  
Texture Features ◽  
Document Image

Complex Printed Uyghur Document Image Retrieval Based on Modified SURF Features

2018 ◽  
pp. 99-111
Author(s):  
Aliya Batur ◽  
Patigul Mamat ◽  
Wenjie Zhou ◽  
Yali Zhu ◽  
Kurban Ubul
Keyword(s):  
Image Retrieval ◽  
Document Image ◽  
Surf Features

scholarly journals Uyghur Printed Document Image Retrieval based on Hu Invariant Moment Features

2015 ◽  
Author(s):  
Ubul Kurban ◽  
Amat Ayxemgul ◽  
Aysa Yunus ◽  
Yadikar Nurbiya ◽  
Aizezi Yasen ◽  
...  
Keyword(s):  
Image Retrieval ◽  
Document Image ◽  
Invariant Moment ◽  
Moment Features

scholarly journals The Role and Utilization of CNN in Automatic Logo Based Document Image Retrieval Methods

2018 ◽  
Vol 7 (3.1) ◽  
pp. 13
Author(s):  
Raveendra K ◽  
R Vinoth Kanna
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Feature Extraction ◽  
Image Retrieval ◽  
Convolutional Neural Network ◽  
Convolutional Neural Networks ◽  
Document Image ◽  
Retrieval Process ◽  
Pictorial Representations

Automatic logo based document image retrieval process is an essential and mostly used method in the feature extraction applications. In this paper the architecture of Convolutional Neural Network (CNN) was elaborately explained with pictorial representations in order to understand the complex Convolutional Neural Networks process in a simplified way. The main objective of this paper is to effectively utilize the CNN in the process of automatic logo based document image retrieval methods.  

An Improved Word Spotting Method for Printed Uyghur Document Image Retrieval

2019 ◽  
pp. 106-116
Author(s):  
Eksan Firkat ◽  
Askar Hamdulla ◽  
Palidan Tuerxun ◽  
Abdusalam Dawut
Keyword(s):  
Image Retrieval ◽  
Document Image ◽  
Word Spotting

A Duplicate Chinese Document Image Retrieval System Based on Line Segment Feature in Character Image Block

2011 ◽  
pp. 14-23
Author(s):  
Yung-Kuan Chan ◽  
Tung-Shou Chen ◽  
Yu-An Ho
Keyword(s):  
Image Retrieval ◽  
Line Segment ◽  
Document Image ◽  
Experimental Results ◽  
Document Images ◽  
Rapid Progress ◽  
Image Block ◽  
Line Segments ◽  
Image Retrieval System ◽  
On Line

With the rapid progress of digital image technology, the management of duplicate document images is also emphasized widely. As a result, this paper suggests a duplicate Chinese document image retrieval (DCDIR) system, which uses the ratio of the number of black pixels to that of white pixels on the scanned line segments in a character image block as the feature of the character image block. Experimental results indicate that the system can indeed effectively and quickly retrieve the desired duplicate Chinese document image from a database.

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