Bangla Hand Written digit recognition using supervised locally linear embedding algorithm and Support Vector Machine

Abstract

This paper presents Bangla numeral Character Recognition System using supervised locally linear embedding algorithm and Support Vector Machine (SVM). The locally linear embedding (LLE) algorithm is an unsupervised technique proposed for nonlinear dimensionality reduction. In this paper, we describe its supervised variant (SLLE). Where class membership information is used to map overlapping high dimensional data into disjoint clusters in the embedded space. we combined it with support vector machine (SVM) for classifying handwritten digits from the On-Line Handwritten Bangla Numeral Database.