Conference proceeding
A new document image quality assessment method based on hast derivations
The 15th IAPR International Conference on Document Analysis and Recognition: ICDAR 2019
2019 International Conference on Document Analysis and Recognition (ICDAR) (Sydney, Australia, 20/09/2019 - 25/09/2019)
2019
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Abstract
With the rapid emergence of new technologies, a voluminous number of images including document images is generated every day. Considering the volume of data and complexity of processes, manual analysis, annotation, recognition, classification, and retrieval, of such document images is impossible. To automatically deal with such processes, many document image analysis applications exist in the literature and many of them are currently in place in different organisation and institutes. The performance of those applications are directly affected by the quality of document images. Therefore, a document image quality assessment (DIQA) method is of primary need to allow users capture, compress and forward good quality (readable) document images to various information systems, such as online business and insurance, for further processing. To assess the quality of document images, this paper proposes a new full-reference DIQA method using first followed by second order Hast derivations. A similarity map is then created using second order Hast derivation maps obtained by employing Hast filters on both reference and distorted images. An average pooling is then employed to obtain a quality score for the distorted document image. To evaluate the proposed method, two different datasets were used. Both datasets are composed of images with the mean human opinion scores (MHOS) considered as ground truth. The results obtained from the proposed DIQA method are superior to the results reported in the literature.
Details
- Title
- A new document image quality assessment method based on hast derivations
- Creators
- Ali Reza Reza Alaei (Author) - Southern Cross University
- Publication Details
- The 15th IAPR International Conference on Document Analysis and Recognition: ICDAR 2019
- Conference
- 2019 International Conference on Document Analysis and Recognition (ICDAR) (Sydney, Australia, 20/09/2019 - 25/09/2019)
- Publisher
- IEEE; Los Alamitos, California
- Number of pages
- 1244-1249
- Identifiers
- 991012842500002368
- Academic Unit
- Information Technology; Faculty of Business, Law and Arts; Faculty of Science and Engineering; School of Business and Tourism
- Language
- English
- Resource Type
- Conference proceeding