Fingerprint Recognition using Gray Level Co-Occurrence Matrices (GLCM) and Discrete Wavelet Transform (DWT)

This paper is thoroughly investigated regarding the fingerprint recognition techniques. This is because the world of security had become more essential. Thus, fingerprint recognition is one of the security enforcement and needed to be developed essentially. This project is focused on the effectiveness of the Gray-Level Co-occurrence Matrices (GLCM) and Discrete Wavelet Transform (DWT) techniques for fingerprint recognition. As in the chapter one, this paper discusses regarding the background of the GLCM and the DWT as well as the reason of this project was initiated. Other than that, this paper also discuss regarding the problem that had been faced previously in order to recognise fingerprint optimally. This paper also discusses the objectives and the limitation of this project in this chapter. On the next chapter, history regarding the GLCM as well as DWT had been widely discuss that made the fingerprint recognition system becomes more popular nowadays. The definition of term, equation and equation related to the GLCM and DWT also had been explained. Moreover, some previous related study will also be discussed. On the third chapter, this paper reviews the method that will be approached for the project for the entire eight months’ timeframe. As for the last chapter, several initial conclusions had been made regarding the fingerprint recognition techniques.