Sinhala Sign Classification using Convolutional Neural Networks

A Convolutional Neural Network (CNN) is a class of deep neural networks. In our project, we have used a CNN for classifying the gestures.The image that shown above is the summary of the model.There are 5 classes of Sinhala gestures which we  have used  ("ආයුබෝවන් ","ඔබ ","හමුවීම","'සතුටක්...

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Speech to Sign mode

According to our project there are main two objectives. There are: Sign to Text mode Speech to Sign mode If we consider about Speech to Sign mode, process is; ordinary user should execute this part and then he can speak in Sinhala to his microphone. When he speaks, system captures his speech and...

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Capturing and Pre-processing the Sign gesture

   First we capture the sign gesture using web camera and then apply the Gaussian blur filter to the captured image to reduce the noise. After that, we convert the image from RGB to gray-scale. Then we try to locate the extract features in the hand using OTSU thresholding....

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User Interface Designing of the System

Designing user interfaces for a system plays a major role in system design phase.  Users of the system uses the user interface to interact with the system. In case of that, every single detail about the user interface should be considered carefully to deliver a great experience to the user. User...

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