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