Handwriting recognition refers to recognizing a handwritten input that includes character (s)
or digit (s) based on an image. Because most applications of handwriting recognition in real …

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 …

In this paper, we present a new dataset for identity documents (IDs) recognition called MIDV-
LAIT. The main feature of the dataset is the textual fields in Perso-Arabic, Thai, and Indian …

Recognizing Arabic text from images is a challenging task due to the intricate nature of the
Arabic script, which incorporates a large number of characters and intricate diacrit-ical …

There have been several Optical Character Recognition (OCR) related works happened for
Indian languages like Hindi, Marathi, Bangla, etc. But there is very little OCR-related work …

Reading Indian scene texts is complex due to the use of regional vocabulary, multiple
fonts/scripts, and text size. This work investigates the significant differences in Indian and …

Scene text detection and recognition have been explored extensively in the recent past but
very few among those are in Indian languages. In this paper, an end-to-end system for the …

Indic languages represent a significant aspect of India's cultural heritage, embodying
collective knowledge, traditions, and customs. Preserving this heritage is crucial. Optical …

We present a novel approach to OCR (Optical Character Recognition) of Korean character,
Hangul. As a phonogram, Hangul can represent 11,172 different characters with only 52 …

Scene-text recognition is remarkably better in Latin languages than the non-Latin languages
due to several factors like multiple fonts, simplistic vocabulary statistics, updated data …