An analysis of optical character recognition implementation for ancient Batak characters using K-nearest neighbors principle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper is intended to support the preservation of national cultural asset, particularly for ancient symbols. By using image processing principle, an automatic system that can be designed and implemented to translate ancient manuscript documents. The system is composed of several phases, from scanning, preprocessing, segmentation, feature extraction and classification. Sample images of the document are not scanned automatically, but manually produced as monochrome, black for the text and white for the background. These sample images are varied based on font size, rotation, and image size. The system is intended to be adaptable for various condition except for the color variation. The system is implemented as a MATLAB application program to convert an image that contains random Batak symbols into a series of Latin character representation of each word. The experiment results show that the system accuracy is ranged between 42% - 96% and the processing time is ranged from 1.9 - 34 seconds.

Original languageEnglish
Title of host publication14th International Conference on QiR (Quality in Research), QiR 2015 - In conjunction with 4th Asian Symposium on Material Processing, ASMP 2015 and International Conference in Saving Energy in Refrigeration and Air Conditioning, ICSERA 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages47-50
Number of pages4
ISBN (Electronic)9781479965519
DOIs
Publication statusPublished - 7 Jan 2016
Event14th International Conference on QiR (Quality in Research), QiR 2015 - Lombok, Indonesia
Duration: 10 Aug 201513 Aug 2015

Publication series

Name14th International Conference on QiR (Quality in Research), QiR 2015 - In conjunction with 4th Asian Symposium on Material Processing, ASMP 2015 and International Conference in Saving Energy in Refrigeration and Air Conditioning, ICSERA 2015

Conference

Conference14th International Conference on QiR (Quality in Research), QiR 2015
CountryIndonesia
CityLombok
Period10/08/1513/08/15

Keywords

  • batak symbols
  • geometric moment invariant
  • nearest neighbors
  • optical character recognition

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    Romulus, P., Maraden, Y., Purnamasari, P. D., & Ratna, A. A. P. (2016). An analysis of optical character recognition implementation for ancient Batak characters using K-nearest neighbors principle. In 14th International Conference on QiR (Quality in Research), QiR 2015 - In conjunction with 4th Asian Symposium on Material Processing, ASMP 2015 and International Conference in Saving Energy in Refrigeration and Air Conditioning, ICSERA 2015 (pp. 47-50). [7374893] (14th International Conference on QiR (Quality in Research), QiR 2015 - In conjunction with 4th Asian Symposium on Material Processing, ASMP 2015 and International Conference in Saving Energy in Refrigeration and Air Conditioning, ICSERA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/QiR.2015.7374893