This paper majorly concerns the classification of handwritten numerals of Devanagari Script.
The major contributions in this paper are 1) Development of a dataset for handwritten …

Handwritten text recognition (htr) for Indian languages is not yet a well-studied problem. This
is primarily due to the unavailability of large annotated datasets in the associated scripts …

Script recognition has many real-life applications like optical character recognition,
document archiving, writer identification, searching within the documents, etc. Automatic …

Word segmentation is a crucial phase for handwritten text recognition. When the input image
contains several words written into multiple text lines, it is essential to separate or segment …

This paper proposes efficient and robust segmentation-based word spotting and character
recognition systems for offline handwritten Hindi scripts using a newly proposed shape …

One of the most important preliminary tasks in a transcription system of historical document
images is text line segmentation. Nevertheless, this task remains complex due to the …

Word recognition has garnered significant attention due to its wide-ranging real-time
applications, including postal automation, signature verification, bank check processing and …

Writer identification is the procedure of identifying individuals from handwriting. Writer
identification is a common interest in biometric authentication and verification systems, and …

This paper presents the competition report on Indic Handwriting Text Recognition (IHTR)
held at the 17th International Conference on Document Analysis and Recognition (ICDAR …

As technology continues to evolve, some traditional practices tend to fade. Stenography is a
practice of writing dictations in terms of speed devised by Isaac Pitman. The said practice …