AN APPROACH FOR COMPRESSING DIGITAL IMAGES BY USING RUN LENGTH ENCODING
Palvee Sharma, Rajeev Mahajan · 2013
Digital images are having a very significant role in sciences. Digital images (biometric images) are produced by the mechanism of digital imaging which is the process of creating images of the human body or parts of the body using various techniques to detect, diagnose or treat a disease. An digital image is essentially a 2-D signal processed by the human visual system. . A digital image is a 2- Dimensional array of pixels. Biometrics means Life Measurements” but this term is mainly associated with the unique physiological characteristics to identify an individual. Biometrics provides security that is the reason people relates to the biometrics. Biometrics have physiological characteristics means it includes of face recognition, iris recognition and fingerprint verification and behavioural characteristics means it includes voice and signature. Biometrics includes verification and identification. Verification means the process of establishing the validity and validation means making a legal validation. Storage and sharing of digital image data are expensive and excessive without compressing it because various techniques of digital imaging produce large sized data therefore these digital images are compressed before saving them or sharing them. In this we use a new hybrid discrete cosine transform and Run length encoding compression and noise removal in further steps and then image similarity detection by Fourier transform.