Handwritten Bangla numeral recognition using Local Binary Pattern
| Autor: | Tasnuva Hassan, Haider Adnan Khan |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Local binary patterns
business.industry Computer science Intelligent character recognition Texture Descriptor Speech recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Facial recognition system Intelligent word recognition k-nearest neighbors algorithm Numeral system ComputingMethodologies_PATTERNRECOGNITION Three-dimensional face recognition Artificial intelligence business |
| Zdroj: | 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT). |
| DOI: | 10.1109/iceeict.2015.7307371 |
| Popis: | Local Binary Pattern (LBP) is a simple yet robust texture descriptor that has been widely used in many computer vision applications including face recognition. In this paper, we exploit LBP for handwritten Bangla numeral recognition. We classify Bangla digits from their LBP histograms using K Nearest Neighbors (KNN) classifier. The performance of three different variations of LBP - the basic LBP, the uniform LBP and the simplified LBP was investigated. The proposed OCR system was evaluated on the off-line handwritten Bangla numeral database CMATERdb 3.1.1, and achieved an excellent accuracy of 96:7% character recognition rate. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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