Character Reorganization and Categorization using Hybrid Algorithms by Scanned Documents
Rudihartono Ismail1, Ismail Suardi Wekke2, A. Dinesh Kumar3, R. Pandi Selvam4, K. Shankar5, Phong Thanh Nguyen6
1Rudihartono Ismail, Sekolah Tinggi Ilmu Sosial dan Ilmu Politik Amal Ilmiah YAPIS Wamena, Indonesia.
2Ismail Suardi Wekke, Sekolah Tinggi Agama Islam Negeri Sorong, Indonesia.
3A. Dinesh Kumar, Research Scholar, Department of Computer Applications, Alagappa University, Karaikudi, India.
4R. Pandi Selvam, Assistant Professor and Head, PG Department of Computer Science, Ananda College, Devakottai, India.
5K. Shankar, Department of Computer Applications, Alagappa University, Karaikudi, India.
6Phong Thanh Nguyen, Department of Project Management, Ho Chi Minh City Open University, Vietnam.
Manuscript received on 15 September 2019 | Revised Manuscript received on 24 September 2019 | Manuscript Published on 10 October 2019 | PP: 943-948 | Volume-8 Issue-6S2, August 2019 | Retrieval Number: F12870886S219/19©BEIESP | DOI: 10.35940/ijeat.F1287.0886S219
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Abstract: Detection and reorganization of text may save a lot of time while reproducing old books text and its chapters. This is really challenging research topic as different books may have different font types and styles. The digital books and eBooks reading habit is increasing day by day and new documents are producing every day. So in order to boost the process the text reorganization using digital image processing techniques can be used. This research work is using hybrid algorithms and morphological algorithms. For sample we have taken an letter pad where the text and images are separated using algorithms. The another objective of this research is to increase the accuracy of recognized text and produce accurate results. This research worked on two different concepts, first is concept of Pixel-level thresholding processing and another one is Otsu Method thresholding.
Keywords: Character Recognization Technique, OCR, Segmentation.
Scope of the Article: VLSI Algorithms