Orientation Field Estimation for Latent Fingerprint Enhancement
نویسندگان
چکیده
منابع مشابه
Fingerprint Orientation Field Enhancement
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 کاملGradient Based Fingerprint Orientation Field Estimation
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...
متن کاملRidge Orientation Estimation and Verification Algorithm for Fingerprint Enhancement
Fingerprint image enhancement is a common and critical step in fingerprint recognition systems. To enhance the images, most of the existing enhancement algorithms use filtering techniques that can be categorized into isotropic and anisotropic according to the filter kernel. Isotropic filtering can properly preserve features on the input images but can hardly improve the quality of the images. O...
متن کاملOn Latent Fingerprint Enhancement
Automatic feature extraction in latent fingerprints is a challenging problem due to poor quality of most latents, such as unclear ridge structures, overlapped lines and letters, and overlapped fingerprints. We proposed a latent fingerprint enhancement algorithm which requires manually marked region of interest (ROI) and singular points. The core of the proposed enhancement algorithm is a novel ...
متن کاملFPGA Implementation of Orientation Field Estimation of Fingerprint Recognition Process
Most of the automatic fingerprint verification systems are based on minutiae pattern matching. The accuracy of the system depends on the quality and location of minutiae. Most of the time, the quality of the ridges in the fingerprint image is not well defined. This leads to failure of precise location of minutiae. Hence, it is essential to get distinct ridges from the fingerprint images. The or...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Pattern Analysis and Machine Intelligence
سال: 2013
ISSN: 0162-8828,2160-9292
DOI: 10.1109/tpami.2012.155