Noise Reduction Technique in Scanned Document using Cuckoo Optimization Algorithm
S. S. Thakare1, S. N. Kale2
1Prof. S. S. Thakare, Assistant Professor, GCOE, Amravati (Maharastra), India.
2Prof. Dr. S. N. Kale, Assistant Professor, SGBAU, Amravati (Maharastra), India.
Manuscript received on 16 August 2019 | Revised Manuscript received on 28 August 2019 | Manuscript Published on 06 September 2019 | PP: 331-335 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F10690886S19/19©BEIESP | DOI: 10.35940/ijeat.F1069.0886S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: While scanning, digitization and transmission, scanned documents can be contaminated with noise. Noise can be categorized by identifying its characteristics. Noise observed for similar pattern scanned document is the source for selecting appropriate noise removal techniques. Any image processing method can have few phases like (i) Pre-processing, (ii) Segmentation, (iii) Recognition and (iv) Post processing. This pre-processing stage is an essential stage, which primarily deals with noise removal. This paper involves the use of the Cuckoo Optimization Algorithm (COA) to remove noise in preprocessing. COA has shown its superior capabilities in fast convergence and better optimal global performance. It finds the most likely pixel value to restore noisy pixels.While scanning, digitization and transmission, scanned documents can be contaminated with noise. Noise can be categorized by identifying its characteristics. Noise observed for similar pattern scanned document is the source for selecting appropriate noise removal techniques. Any image processing method can have few phases like (i) Pre-processing, (ii) Segmentation, (iii) Recognition and (iv) Post processing. This pre-processing stage is an essential stage, which primarily deals with noise removal. This paper involves the use of the Cuckoo Optimization Algorithm (COA) to remove noise in preprocessing. COA has shown its superior capabilities in fast convergence and better optimal global performance. It finds the most likely pixel value to restore noisy pixels.
Keywords: Cuckoo Optimization Algorithm (COA), Document, Scanned Document, Image, Scanned Image, Noise, Noisy Pixel, Noise Reduction.
Scope of the Article: Algorithm Engineering