Fingerprint Classification Based on Orientation Field
نویسندگان
چکیده
منابع مشابه
Fingerprint Classification Based on Maximum Variation in Local Orientation Field
Fingerprint classification provides an important indexing mechanism in a fingerprint database. Accurate and consistent classification can greatly reduce fingerprint-matching time and computational complexity for a large database as the input fingerprint needs to be matched only with a subset of the fingerprint database. Classification into six major categories (whorl, right loop, left loop, twi...
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Manual fingerprint classification proceeds by carefully inspecting the geometric characteristics of major ridge curves in a fingerprint image. We propose an automatic approach of identifying the geometric characteristics of ridges based on curves generated by the orientation field called orientation field flow curves (OFFCs). The geometric characteristics of OFFCs are analyzed by studying the i...
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Accurate estimation of ridge orientation is a critical step in image preprocessing methods used in automatic fingerprint identification systems (AFIS). Fingerprint orientation plays important roles in fingerprint enhancement, classification and recognition. The most popular is gradient-based method. This paper reviews the algorithm parameters, determining the compromise between accuracy in high...
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This paper presents a new method to enhance the fingerprint orientation image. Orientation, as a global feature of fingerprint, is very important to image preprocessing methods used in automatic fingerprint identification systems (AFIS). The most popular, gradient-based method is very sensitive to noise (image quality). Proposed algorithm is an application of gradient-based method combined with...
متن کاملFingerprint Orientation Field Interpolation Based on the Constrained Delaunay Triangulation
A direction map or an orientation field is widely used in automatic fingerprint verification and recognition systems. In most existing methods, the block-wise orientation field is computed from the squared gradients. Since a fingerprint image can contain areas that may be smeared or scarcely distributed, faulty orientations can be produced during the process of orientation field estimation. In ...
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ژورنال
عنوان ژورنال: International Journal of Embedded Systems and Applications
سال: 2018
ISSN: 1839-5171
DOI: 10.5121/ijesa.2018.8403