Orientation Local Binary Pattern Based Fingerprint Matching

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Local Correlation-based Fingerprint Matching

Most fingerprint matching systems are based on matching minutia points between two fingerprint images. Each minutia is represented by a fixed number of attributes such as the location, orientation, type and other local information. A hard decision is made on the match between a pair of minutiae based on the similarity of these attributes. In this paper, we present a minutiae matching algorithm ...

متن کامل

Improving Fingerprint Matching Using an Orientation-Based Minutia Descriptor

This paper reviews a well-known fingerprint matching algorithm that uses an orientation-based minutia descriptor. It introduces a set of improvements to the algorithm that increase the accuracy and speed, using the same features. The most significant improvement is in the global minutiae matching step, reducing the number of local matching minutiae and using multiple minutiae pairs for fingerpr...

متن کامل

Combining Orientation Field for Fingerprint Matching

Minutia matching is a widely used method for fingerprint matching. In order to match regions containing no minutiae and match small-area fingerprints which contain not enough minutiae for matching, a method combining minutiae and orientation field is proposed for fingerprint matching. The proposed method leads to an improved performance compared with the minutiae-based method.

متن کامل

Local Derivative Pattern with Smart Thresholding: Local Composition Derivative Pattern for Palmprint Matching

Palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. Texture is one of the most important features extracted from low resolution images. In this paper, a new local descriptor, Local Composition Derivative Pattern (LCDP) is proposed to extract smartly stronger...

متن کامل

Graph Matching Iris Image Blocks with Local Binary Pattern

Iris-based personal identification has attracted much attention in recent years. Almost all the state-of-the-art iris recognition algorithms are based on statistical classifier and local image features, which are noise sensitive and hardly to deliver perfect recognition performance. In this paper, we propose a novel iris recognition method, using the histogram of local binary pattern for global...

متن کامل

ذخیره 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: SN Computer Science

سال: 2020

ISSN: 2662-995X,2661-8907

DOI: 10.1007/s42979-020-0068-y