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

An online handwriting recognition (HR) system is usually developed considering point-
based features that describe different geometric attributes of handwriting. Often, due to the …

In this paper, we present an approach for Arabic and Latin script and its type identification
based onHistogram of Oriented Gradients (HOG) descriptors. HOGs are first applied at word …

Handwriting is considered to be one of the commonly used biometric modalities to verify and
identify persons in commercial, governmental and forensic applications. In order to test and …

Handwriting recognition is a research topic with a lot of challenges and complications. One
of the main complications is big databases that affect classifier complexities and their ability …

Automatic Recognition of Arabic Handwriting is a pervasive field that has many challenging
complications to solve. Such complications include big databases and complex computing …

This paper introduces a lightweight model for printed and handwritten text identification in
document images, which is then deployed as a web service to enable easy integration into …

In this work, we propose a texture-based approach to separate handwritten from machine-
printed words, written in Arabic and Latin scripts. The idea is to benefit from differences in …

In this paper, we propose a new writing type and script text classification technique to
recognize the identity of texts extracted from heterogeneous document images. English …

In this paper, we propose a writing type, script and language text classification method to
automatically determine the identity of texts segmented from heterogeneous document …