A variety of different scripts are used in writing languages throughout the world. In a
multiscript, multilingual environment, it is essential to know the script used in writing a …

The easy availability and rapid use of online devices like Take note, PDA, smartphones, etc.
at an affordable price increase the demand for online handwriting recognition. In this …

Recent advances in OCR have shown that an end-to-end (E2E) training pipeline that
includes both detection and recognition leads to the best results. However, many existing …

This paper describes a method for robust offline writer identification. We propose to use
RootSIFT descriptors computed densely at the script contours. GMM supervectors are used …

Script identification facilitates many important applications in document/video analysis. This
paper investigates a relatively new problem: identifying scripts in natural images. The basic …

Without publicly available dataset, specifically in handwritten document recognition (HDR),
we cannot make a fair and/or reliable comparison between the methods. Considering HDR …

We present and evaluate a framework and tool for combining multiple program analyses
which allows the dynamic (on-line) adjustment of the precision of each analysis depending …

In recent years, with the widespread of Internet and digitized processing of multi-script
documents worldwide, script identification techniques have become more important in the …

In this paper, we propose a novel texture feature extraction method based on the co-
occurrence histograms of wavelet decomposed images, which capture the information about …

Multilingual handwritten text recognition is often accomplished in two cascaded steps: script
identification and handwriting recognition. However, this scheme is not optimal due to error …