Vast collections of documents available in image format need to be indexed for information
retrieval purposes. In this framework, word spotting is an alternative solution to optical …

Handwriting has remained one of the most frequently occurring patterns that we come
across in everyday life. Handwriting offers a number of interesting pattern classification …

The performance of handwriting recognition systems is dependent on the features extracted
from the word image. A large body of features exists in the literature, but no method has yet …

Along with the explosive growth of the amount of handwritten documents that are preserved,
processed and accessed in a digital form, handwritten document images word spotting has …

The Ottoman OCR is an open problem because the OCR models for Arabic do not perform
well on Ottoman. The models specifically trained with Ottoman documents have not …

With the accelerated pace of digitization, a vast collection of Ottoman documents has
become accessible to researchers and the general public. However, most users interested …

A noteworthy achievement has been accomplished in develo** optical character
recognition (OCR) systems for different Indic scripts handwritten document images. But in a …

In this paper, we present a web-based optical character recognition (OCR) system that
converts images of Ottoman documents printed with naskh font into text using CNN+ RNN …

Motivated by the need for the automatic indexing and analysis of huge number of documents
in Ottoman divan poetry, and for discovering new knowledge to preserve and make alive this …

Extraction and representation of contours are challenging problems and are crucial for many
image processing applications. In this study, given a membership function that returns the …