Citation

Saleh, Marwan D. and Salih, Nbhan D. and Mohd Isa, Wan Noorshahida (2023) Features based reconstruction technique for torn documents. In: International Conference on Green Energy, Computing and Intelligent Technology (GEn-CITy 2023), 10-12 July 2023, Hybrid Conference, Iskandar Puteri, Malaysia.

Full text not available from this repository.

Abstract

The reconstruction of torn documents that hold sensitive information or crucial historical data is of great significance in many domains. An efficient technique for hand-torn document restoration is presented in this paper. Pre-processing, feature extraction, and matching three main phases of this technique. The reconstruction is carried out by matching pairwise the feature vectors of the fragments. Using a database consists of 120 torn pages taken from books, newspapers and magazines, the performance of this technique has been measured using simple but effective criteria called error rate. The algorithm was able to accurately reconstruct 91% of the documents, with the remaining being partially reconstructed.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	feature extraction; image matching; image reconstruction; document image processing
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	23 Feb 2024 04:39
Last Modified:	23 Feb 2024 04:39
URII:	http://shdl.mmu.edu.my/id/eprint/12121

Downloads

Edit (login required)