Word-wise Script Identification from Bilingual Documents Based on Morphological Reconstruction

Word Level Script Identification in Bilingual Documents through Discriminating Features

“…Nagabhushan et al [15] discussed an intelligent pin code script identification methodology based on texture analysis using modified invariant moments. In this paper, English numerals separation and script identification is attempted by exploiting some discriminating visual features of the proposed scripts and it is the extended and improved work of Dhandra et al [23,24] In Section 2, we provide pre-processing and segmentation. In Section 3, a method of feature extraction is described.…”

Scripts and Numerals Identification From Printed Multilingual Document Images

“…The feature extractor consists of two stages. Dhandra et al [6] [7] are continuation of paper [8] demonstrates the feasibility of morphological reconstruction approach for script identification at word level.…”

Online Handwritten Devnagari Word Recognition using HMM based Technique

“…In [2] and [7] Neural network is used for Devnagari script recognition. Anoop Namboodiri [5] presented a method for online recognition of handwritten text by a K nearest neighbor and support vector machine classifier and sequential floating search method for feature extraction. It classified words and lines in an online handwritten document into one of the six major scripts: Arabic, Cyrillic, Devanagari, Han, Hebrew, or Roman.…”