DocumentCode :
3678150
Title :
Handwritten Bangla numeral recognition using Local Binary Pattern
Author :
Tasnuva Hassan;Haider Adnan Khan
Author_Institution :
United International University, Dhaka, Bangladesh
fYear :
2015
fDate :
5/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
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.
Keywords :
"Optical computing","Optical imaging","Standards","Annealing","Face","Accuracy"
Publisher :
ieee
Conference_Titel :
Electrical Engineering and Information Communication Technology (ICEEICT), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICEEICT.2015.7307371
Filename :
7307371
Link To Document :
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