Publication: Matching algorithm of sign writing translation on altera's fpga de2 board
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Date
2012-06-01
Authors
Ooi, Tsu Ching
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Abstract
This project is to build a system that is capable of detecting and recognizing the symbol of sign writing in an image from computer by using matching algorithm. This system is built based on Altera’s FPGA DE2-70 board which contains a Nios II soft core processor. The image processing techniques are used to smooth the image by clearing the noise of image and background, and then translate the symbol of sign writing into text. The matching algorithm is built for translating the symbol of sign writing in the image to text word and display the result on the 16x2 LCD modules. Computer software, like Altera’s Quartus II, SOPC Builder and Nios II EDS, are used to construct this system. By using SOPC Builder, components on the Altera’s FPGA DE2-70 board can said that interconnected easily and orderly if it compared to traditional method where typical time consuming lengthy source code needs to be written for the same purpose. Next, Altera’s Quartus II is used to compile and download the design of project components to Altera’s FPGA DE2-70 board by using programmer. And then, under Nios II EDS, C programming language is used to code the matching algorithm and behavior of Nios II processor to manipulate the components on Altera’s FPGA DE2-70 board to obtain the desired result. By doing so, this project would help human to understand and to learn sign writing as well as to generate an easier communication way between us and deaf people and also further explore the importance of sign writing.