BenSignNet: Bengali Sign Language Alphabet Recognition Using Concatenated Segmentation and Convolutional Neural Network

BenSignNet: Bengali Sign Language Alphabet Recognition Using Concatenated Segmentation and Convolutional Neural Network

Sign language recognition is one of the most challenging applications in machine learning and human-computer interaction. Many researchers have developed classification models for different sign languages such as English, Arabic, Japanese, and Bengali; however, no significant research has been done...

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Bibliographic Details
Main Authors: Abu Saleh Musa Miah, Jungpil Shin, Md Al Mehedi Hasan, Md Abdur Rahim
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
Bengali sign language (BSL)
Convolutional neural network (CNN)
38-BdSL
Ishara-Lipi
KU-BdSL
concatenated segmentation
Online Access:https://www.mdpi.com/2076-3417/12/8/3933

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https://www.mdpi.com/2076-3417/12/8/3933

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