A Survey on Singular Points Detection Technique

Fingerprint classification is an important task for any large scale fingerprint recognition system. The high precision of detecting core point is crucial for most fingerprint classification operations. This paper provides an overview of the most well-known techniques for singular points detection fingerprint classification based on these singularities. The main purpose of singular points detection is to use as reference points for fingerprint matching and classification. Generally, accurate and efficient singular points detection considerably affects the overall fingerprint identification system. A various method of singular points detection has been examined starting with Kawagoe and Tojo from 1984. Since then, there are many new approaches introduced. Most of the approaches proposed by the researchers for the singular points detection operate on the fingerprint ridge orientation image. On the other hand, this paper focuses to present the precise way for detection of singular points and dealing with accurate performance for fingerprint classification systems. CR Categories: I.4.6 [Image Processing and Computer Vision]: Segmentation-Pixel Classification General Terms Algorithms, Performance, Theory.