Results 21 to 30 of about 7,392 (64)

Writer Identification on Multi-Script Handwritten Using Optimum Features

, 2017
Recognizing the writer of a text that has been handwritten is a very intriguing research problem in the field of document analysis and recognition. This study tables an automatic way of recognizing the writer from handwritten samples.
Ahmed Abdullah Ahmed, H. R. Hasan, F. Hameed, Omar Ismael Al-Sanjary   +3 more
semanticscholar   +1 more source

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Benchmarked multi-script Thai scene text dataset and its multi-class detection solution

Multimedia Tools and Applications, 2021
Hemmaphan Suwanwiwat, Muhammad Saqib, Umapada Pal   +2 more
exaly   +2 more sources

Feature learning and encoding for multi-script writer identification

International Journal on Document Analysis and Recognition, 2022
Abdelillah Semma, Yaacoub Hannad, Imran Siddiqi   +2 more
exaly   +2 more sources

A Novel Multi-scale Deep Neural Framework for Script Invariant Text Detection

Neural Processing Letters, 2022
Tauseef Khan, Ayatullah Faruk Mollah, Khan Tauseef   +2 more
exaly   +2 more sources

Hybrid HMM/BLSTM system for multi-script keyword spotting in printed and handwritten documents with identification stage

Neural Computing and Applications, 2019
Yousri Kessentini, Slim Kanoun, Kanoun Slim   +2 more
exaly   +2 more sources

Digitizing Old Nubian Dictionary: Optical Character Recognition for Multi-Lingual and Multi-Script Text from Medieval Africa

Colloquium in Information Science and Technology, 2023
This paper explored the application of the Transkribus software, a Handwritten Text Recognition (HTR) and Optical Character Recognition (OCR) tool, to multi-lingual and multi-script text from Medieval Nubia in Africa.
So Miyagawa
semanticscholar   +1 more source

RETRACTED: A comparative study of syllables and character level N-grams for Dravidian multi-script and code-mixed offensive language identification

Journal of Intelligent & Fuzzy Systems, 2022
Curfews and lockdowns around the world in the Covid-19 era have increased the usage of the internet drastically and accordingly the amount of data shared on social media.
F. Balouchzahi, H. Shashirekha, G. Sidorov, A. Gelbukh   +3 more
semanticscholar   +1 more source

Multi-Script Text Detection from Image Using FRCNN

International Journal of Asian Language Processing, 2022
Textual information is the most common type of way by which we can determine what text/texts we are looking for. In order to retrieve text from images the first and foremost step is text detection from the image.
Mukesh M Goswami, Nidhi J. Dadiya, S. Mitra, Tanvi Goswami   +3 more
semanticscholar   +1 more source

Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script identification

International Conference on Computational Intelligence, Communications, and Business Analytics, 2021
Multi-lingual script identification is a difficult task consisting of different language with complex backgrounds in scene text images. According to the current research scenario, deep neural networks are employed as teacher models to train a smaller ...
Shuvayan Ghosh Dastidar, Kalpita Dutta, N. Das, M. Kundu, M. Nasipuri   +4 more
semanticscholar   +1 more source

Multi-level Contrastive Learning for Script-based Character Understanding

Conference on Empirical Methods in Natural Language Processing, 2023
In this work, we tackle the scenario of understanding characters in scripts, which aims to learn the characters' personalities and identities from their utterances. We begin by analyzing several challenges in this scenario, and then propose a multi-level
Dawei Li, Hengyuan Zhang, Yanran Li, Shiping Yang   +3 more
semanticscholar   +1 more source