SIGN LANGUAGE RECOGNITION

SIGN LANGUAGE RECOGNITION

Ms. Sonali Patil1, Ms. Pallavi Maske2, Ms. Achal Butke3 , Mr. Chandrakant Prajapati4 ,

Miss. Priyanka Kanoje5

1First Author Information Technology & Tulsiramji Gaikawad-Patil College of Engineering & Technology

2Second Author Information Technology & Tulsiramji Gaikawad-Patil College of Engineering & Technology

3Third Author Information Technology & Tulsiramji Gaikawad-Patil College of Engineering & Technology

4Fourth Author Information Technology & Tulsiramji Gaikawad-Patil College of Engineering & Technology

5Fifth Author (Assistant Professor) Information Technology & Tulsiramji Gaikawad-Patil College of Engineering & Technology

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 ABSTRACT

Sign Language is a form of language that enables communication   among individuals who are deaf or hard of hearing. Every country has developed its own distinct sign language, including India, which has its own version known as Indian Sign Language (ISL). SLR an essential tool for communication with people who are speech impaired. In this article, we will discuss recent advancements in sign language recognition. We will begin by examining various techniques of gesture recognition and highlighting important methods in recent developments. Additionally, we will focus on the challenges and potential solutions associated with sign language recognition. We propose a method for creating an ISL dataset using a webcam and training a TensorFlow model using transfer learning to develop a real-time Sign Language Recognition system. It is important to learn sign language as it is a reliable and significant way of communicating with people who are hard of hearing or speech impaired without the need for an interpreter.

Keywords: SLR (Sign Language Recognition), Gesture Recognition, ISL (Indian Sign Language)