Due to the rapid increase of different digitized documents, the development of a system to automatically retrieve document images from a large collection of structured and unstructured document images is in high demand. Many techniques have been developed to provide an efficient and effective way for retrieving and organizing these document images in the literature. This paper provides an overview of the methods which have been applied for document image retrieval over recent years. It has been found that from a textual perspective, more attention has been paid to the feature extraction methods without using OCR.
Conference proceeding
A brief review of document image retrieval methods: recent advances
2016 International Joint Conference on Neural Networks (IJCNN) : proceedings
2016 International Joint Conference on Neural Networks (IJCNN) (Vancouver BC, Canada, 24/07/2016 - 29/07/2016)
2016
Metrics
35 Record Views
Abstract
Details
- Title
- A brief review of document image retrieval methods: recent advances
- Creators
- Fahimeh Alaei (Author) - Griffith UniversityAli Reza Alaei (Author) - Griffith UniversityMichael Burmenstein (Author) - University of Technology SydneyUmapada Pal (Author) - Indian Statistical Institute
- Publication Details
- 2016 International Joint Conference on Neural Networks (IJCNN) : proceedings
- Conference
- 2016 International Joint Conference on Neural Networks (IJCNN) (Vancouver BC, Canada, 24/07/2016 - 29/07/2016)
- Publisher
- IEEE; USA
- Identifiers
- 2003; 991012822152302368
- Academic Unit
- School of Business and Tourism; Faculty of Business, Law and Arts; Faculty of Science and Engineering; Information Technology
- Language
- English
- Resource Type
- Conference proceeding