Script Identification from Multilingual Indian Documents using Structural Features
Rajesh Gopakumar, N. V. Subba Reddy, Krishnamoorthi Makkithaya, U. Dinesh Acharya · 2010
Script Identification from a given document image is an important process for many computer applications such as automatic archiving of multilingual documents, searching online archives of document images and for the selection of script specific OCR in a multilingual environment. In this paper a Zone-based Structural feature extraction algorithm towards the recognition of South-Indian scripts along with English and Hindi is proposed. The document images are segmented into lines and the line image is divided into different zones and the structural features are extracted. A total of 37 features were extracted in the first level and then reduced to an optimal number of features using wrapper and filter selection approaches. The K-nearest neighbor and the support vector machine classifiers are used for classification and recognition purpose. Very good classification accuracy is achieved on the optimal feature set