Automated mail sorting machines commonly use Optical Character Recognition (OCR) to
recognize destination postcodes on envelopes and sort them accordingly. However, errors …

The context of recognizing handwritten city names, this research addresses the challenges
posed by the manual inscription of Bangladeshi city names in the Bangla script. In today's …

In modern deep learning, character recognition in images is a very important field of study
due to its has many real life applications. The goal of this paper is to create the state-of-the …

Handwriting recognition is always a challenging task as it depends on the writing style of the
writer; similarity among character sets of the script; fairly or badly written text; blurriness (or …

Holistic-based or segmentation-free handwritten word recognition is one of a pattern
recognition problem that aims to recognize the entire word image as a single entity. It is a …

Optical character recognition (OCR) converts text images into machine-readable text. Due to
the non-availability of several standard datasets of Devanagari characters, researchers have …

Postal documents are often used for official communication, online shop**, etc. At times,
the delivery gets delayed due to multiple scripts leading to the need for postal sorting …

Dental implants are a popular medical solution for restoring one or more lost teeth. By being
surgically inserted into the jawbone or skull, an implanted dental prosthesis may support a …

The most difficult activity is handwritten character recognition (HCR), which is difficult be-
cause it requires repeated human labor and is subject to human error. It is the most difficult …

Handwriting analysis presents a formidable challenge, especially when dealing with
languages like Bangla that lack extensive resources. Previous research on Bangla …