ALPHABETS IMAGE IDENTIFICATION USING ADVANCED LOCAL BINARY PATTERN AND CHAIN CODE ALGORITHM

Daniel Setiawan Cahyono, Shinta Estri Wahyuningrum

Abstract


Optical Character Recognition (OCR) is a method for computer to process an image that contains some text and then try to find any characters in that image, then convert it to digital text. In this research, Advanced Local Binary Pattern and Chain Code algorithm will be tested to identify alphabets in the image. Several method image preprocessing are also needed, such as image transformation, image rescaling, grayscale conversion, edge detection and edge thinning.

Keywords


ocr, albp, chain code, image identification

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References


Md. Rahim A., Md. Hosaain N. M., Wahid T., Md. Azam S., “Face Recognition Using Local Binary Patterns (LBP)”, Global Journal of Computer Science And Technology Grapich & Vision, 2013.

Liao S. And Chung A. C. S., “Texture Classification By Using Advanced Local Binary Patterns And Spatial Distribution Of Dominant Patterns”, ICASSP, 2007.

Sleit A. And Jobay R., “A Chain Code Approach For Recognizing Basic Shapes”, CSIT, 2006.

Widiarti A. T., “Comparing Hilditch, Rosenfeld, Zhang-Suen, and Nagendrasad - Wang-Gupta Thinning Algorithms for Javanese Character Image”, World Academy of Science, Engineering and Technology International Journal of Computer and Information Engineering, 2011.

Fakhrina F. A., Rahmadwati, Wijono, “Thinning Zhang-Suen dan Stentiford untuk Menentukan Ekstraksi Ciri(Minutiae) Sebagai Indentifikasi Pola Sidik Jari Whorl dan Loop”, Teknologi Elektro Vol 15 No 2, 2016.

Eikvil L., “OCR Optical Character Recognition”, Norsk Regnesentral, P.B. 114 Blindern,1993.




DOI: https://doi.org/10.24167/proxies.v2i2.3209

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