A case study of illumination robust face and finger print merging identification technique using cross correlation

Human face is not a reliable biometric feature for identification due to several degree of freedoms like pose, expression, illumination, age, picture quality etc whereas finger print is more reliable biometric feature for authentication. Besides, finger print quality depends on pressing pressure and sharpness of ridges. These two biometric features can be easily collected from human body. This paper presents a merging technique with these two biometric features and identifying a human using cross correlation process. For experimental purpose we use Yale illumination varying cropped face database and for finger print we take FVC2004, DB1_B.zip (4.5MB) - Set “B” of Database 1.