Feature engineering takes a very important role in writer identification which has been
widely studied in the literature. Previous works have shown that the joint feature distribution …

Script identification is being widely accepted techniques for selection of the particular script
OCR (Optical Character Recognition) in multilingual document images. Extensive research …

This paper focuses on the problem of script identification in scene text images. Facing this
problem with state of the art CNN classifiers is not straightforward, as they fail to address a …

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 …

Handwritten document understanding is a fundamental research problem in pattern
recognition and it relies on the effective features. In this paper, we propose a joint feature …

This paper presents a method for performing offline writer identification by using K-adjacent
segment (KAS) features in a bag-of-features framework to model a user's handwriting. This …

Script identification is a well-studied problem in literature since last decade. Several
methods for automatic script identification have been reported. All these methods consider a …

Historical manuscript dating has always been an important challenge for historians but since
countless manuscripts have become digitally available recently, the pattern recognition …

We present a novel approach for separating Indic scripts with 'matra', which is used as a
precursor to advance and/or ease subsequent handwritten script identification in multi-script …

In this paper, we propose a method for simultaneous script identification and handwritten
text line recognition in multi-task learning framework. Firstly, we use Separable Multi …