In this paper, a novel method is presented using deep neural network to identify singular
points on a fingerprint. The proposed method can efficiently calculate fingerprint blocks …

Most of the existing conventional methods for singular points detection of fingerprints
depend on the orientation fields of fingerprints, which cannot achieve the reliable and …

Most methods for singular points detection usually depend on the orientation fields of
fingerprints, which cannot achieve reliable and accurate detection of poor quality …

Singular points detection, a crucial step for fingerprint identification system, is accurately
robust, and reliable. In the processing of the fingerprint image matching and classification …

As a global feature of fingerprints, singular point plays important roles in fingerprint model,
synthesis fingerprint, fingerprint classification, fingerprint alignment and so on. In our …

Correctly locating singular points (core and delta points) is crucial for most fingerprint
classification and recognition applications. In this paper, we propose an algorithm to …

In a fingerprint the profile of ridges are flowed by ridge orientation curves. The slope of each
point of a ridge orientation curve varies with the radius of curvature of the line. The change in …

Singular point is an essential global feature in fingerprint images. Existing methods for
singular points' detection generally visit each pixel or each small image block to determine …

Singular point detection is the most important step in Automatic Fingerprint Identification
System (AFIS) and is used in fingerprint alignment, fingerprint matching, and particularly in …

Singular points detection is the most challenging and important process in biometrics
fingerprint verification and identification systems. Singular points are used for fingerprint …