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Research Article

Sign Language Recognition Based on Machine Learning

Prof. Anjali M. Dalvi1 Shivam Sonawane2 Shruti Degaonkar3 Suraj Kulkarni4 Gauri Chavan5
1Head of Department, Department of Computer Engineering, SRTTC FOE, India. 2345Student, Department of Computer Engineering, SRTTC FOE, India.

Published Online: May-June 2022

Pages: 137-143

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References

1. Ms. Greeshma Pala, Ms. Jagruti Bhagwan Jethwani, Mr. Satish Shivaji Kumbhar, Ms. Shruti Dilip Patil “Machine Learning based Hand
Sign Recognition” (ICAIS-2021).
2. Rachana Patil, Vivek Patil, Abhishek Bahuguna, Gaurav Datkhile “Indian Sign Language Recognition using Convolutional Neural Network”(ICACC-2021).
3. Hoshang Kolivand, Saba Joudaki, Mohd. Shahrizal Sunar, David Tully “A New Framework for Sign Language Alphabet Hand Posture
Recognition using Geometrical Features through Artificial Neural Network” (Neural Computing and Applications 2020).
4. Hoshang Kolivand, Saba Joudaki, Mohd. Shahrizal Sunar, David Tully “An Implementation of Sign Language Alphabet Hand Posture
Recognition Using Geometrical Features through Artificial Neural Network” (Neural Computing and Applications 2020).
5. Muneer Al-Hammadi, Ghulam Muhammad, Wadood Abdul, Mansour Alsulaiman, Mohd. A. Bencherif, Tareq S. Alrayes, Hassan Mathkour, Mohd. Amine Mekhtiche “Deep Learning Based Approach for Sign Language Gesture Recognition with Efficient Hand Gesture Representation” (IEEE Access 2020).
6. Amrutha K, Prabu P “ML Based Sign Language Recognition System” (ICITIIT 2021).
7. https://www.javatpoint.com/

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