A handwritten word recognition system comes with issues such as-lack of large and diverse
datasets. It is necessary to resolve such issues since millions of official documents can be …

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 …

Latin has historically led the state-of-the-art in handwritten optical character recognition
(OCR) research. Adapting existing systems from Latin to alpha-syllabary languages is …

Styled Handwritten Text Generation (Styled HTG) is an important task in document analysis,
aiming to generate text images with the handwriting of given reference images. In recent …

Handwriting recognition remains challenging for some of the most spoken languages, like
Bangla, due to the complexity of line and word segmentation brought by the curvilinear …

Optical character recognition (OCR) is a process of converting analogue documents into
digital using document images. Currently, many commercial and non-commercial OCR …

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

Offline Handwritten Text Recognition (HTR) is a technique for translating handwritten
images into digitally editable text format. Due to the presence of cursive letters, punctuation …

Word-level handwritten optical character recognition (OCR) remains a challenge for
morphologically rich languages like Bangla. The complexity arises from the existence of a …

In this chapter, we introduce a new dataset for offline Handwritten Text Recognition (HTR)
from images of Bangla scripts comprising words, lines, and document-level annotations. The …