A Classification of Handwritten Multilingual Documents
Abstract: In the Branch of computer Science handwritten script recognition is demanding part. Projected work is highlighting on the block level technique. In this wok we use the feature extraction technique for the recognition and we combined approach of Discrete Cosine Transform (DCT) and discrete wavelets Transform (DWT) for feature extraction and neural network (feed forward back propagation) classifier for classification and recognition purpose. The projected work has been experiment on three handwritten scripts Hindi, English and Urdu. For this work we create a database. That contains 9862 handwritten samples, written in three scripts.
Keywords: Multi-script documents, handwritten script, Discrete Cosine Transform, Wavelets
How to Cite?: Raushan Kumar Singh, Akhilesh Pandey, "A Classification of Handwritten Multilingual Documents", Volume 3 Issue 7, July 2014, International Journal of Science and Research (IJSR), Pages: 1229-1233, https://www.ijsr.net/getabstract.php?paperid=20141302, DOI: https://dx.doi.org/10.21275/20141302