Offline Handwritten Script Identification in Document Images

Offline Handwritten Script Identification in Document Images

Automatic handwritten script identification from document images facilitates many important applications such as sorting, transcription of multilingual documents and indexing of large collection of such images, or as a precursor to optical character recognition (OCR). In this paper, we investigate a texture as a tool for determining the script of handwritten document image, based on the observa...

Offline Handwritten Devanagari Script Recognition

Handwritten Devanagari script recognition system using neural network is presented in this paper. Diagonal based feature extraction is used for extracting features of the handwritten Devanagari script. After that these feature of each character image is converted into chromosome bit string of length 378. More than 1000 sample is used for training and testing purpose in this proposed work. It is...

Identification for Handwritten Document Images

Indic Handwritten Script Identification using Offline-Online Multimodal Deep Network

In this paper, we propose a novel approach of word-level Indic script identification using only character-level data in training stage. The advantages of using character level data for training have been outlined in section I. Our method uses a multimodal deep network which takes both offline and online modality of the data as input in order to explore the information from both the modalities j...

Compression Method for Handwritten Document Images in Devnagri Script

Document image compression is used for speedy communication over the network. In the context of document image compression most of the work is done for printed textual images. But compression of handwritten text images, very small work is reported. The textual form of images is different from the conventional form of images. Document image analysis and compression used for preserving, storing a...