Real Time Indian Sign Language Recognition System using CNN Classifier
| Author(s) | : | Ms.Savita More, Prof.Ashwini Kokate |
| Institution | : | Electronics &Telecommunication Engineering, Siddhant College of Engineering,Pune |
| Published In | : | Vol. 7, Issue 7 — July 2020 |
| Page No. | : | 122-127 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Several works has been conducted in the field of human computer interaction (HCI).The HCI solution is given by one of the system sign language recognition. The system we designcalled the system for the recognition of sign language. This gives the solution to build the HCI wherethe computer is used as interpreters. Using Python, these systems are used to recognize theconvention of static & dynamic signs in real time. Signs are collected using a web camera and CNNtechnique is used to retrieve information. Due to the use of simple logic condition applied to recognizethe sign, this proposed system can be used for real time application.
Ms.Savita More, Prof.Ashwini Kokate, “Real Time Indian Sign Language Recognition System using CNN Classifier”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 7, Issue 7, pp. 122-127, July 2020.
