New approach for fingerprint detection based on singular points

Recognition of persons on the basis of biometric features is an emerging phenomenon which has received increasing attention in recent years due to the need for security in a wide range of applications. Singular points are the discontinuities in the directional field. Two types of singular points exist- core point and delta points. A core is the uppermost point of the innermost curving ridge, and a delta is a point where three ridge flows meet. In human fingerprint, it may contains more than one core point or delta point. By using these points we can construct a graphical shape that is used for fingerprint identification. According to the position of core- delta points the graphical shape for each person is different from others, so comparing with these shape can identify each person.