Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

This paper introduces a pair of online and offline Chinese handwriting databases,
containing samples of isolated characters and handwritten texts. The samples were …

The paper analytically reviews the methods and algorithms for solving problems arising in
the development of writer identification offline systems. The main applied problems that are …

Recently, the Institute of Automation of Chinese Academy of Sciences (CASIA) released the
unconstrained online and offline Chinese handwriting databases CASIA-OLHWDB and …

In the current industrial landscape, a significant number of sectors are grappling with the
challenges posed by unstructured data, which incurs financial losses amounting to millions …

In this paper, we introduce a large-scale dataset, called SCUT-HCCDoc, to address
challenging detection and recognition problems of handwritten Chinese text (HCT) in the …

In the present work, we present a benchmark image database of isolated handwritten
Bangla compound characters, used in the standard Bangla literature. A thorough survey …

Adversarial reprogramming allows repurposing a machine-learning model to perform a
different task. For example, a model trained to recognize animals can be reprogrammed to …

Recognition of cursive handwritten text is a complex problem due challenges like context
sensitive character shapes, non-uniform inter and intra word spacings, complex positioning …

Optical character recognition (OCR) methods have been applied to diverse tasks, eg, street
view text recognition and document analysis. Recently, zero-shot OCR has piqued the …