A Hierarchical Hough Transform for Fingerprint Matching

نویسندگان

  • Chaoqiang Liu
  • Tao Xia
  • Hui Li
چکیده

This paper addresses the improvement on the generalized Hough transform for the biometric identification applications. The errors in generalized Hough transform for fingerprint matching are investigated and a new hierarchical Hough transform algorithm is proposed, which is faster and more accurate compared to conventional generalized Hough transform.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Fingerprint Verification based on Fusion of Minutiae and Ridges using Strength Factors

With the increasing emphasis on the automatic personal identification applications, biometrics especially fingerprint identification is the most reliable and widely accepted technique. In this paper Fingerprint Verification based on fusion of Minutiae and Ridges using Strength Factors (FVMRSF) is presented. In the preprocessing stage the Fingerprint is Binarised and Thinned. The Minutiae Matchi...

متن کامل

Technical Challenges for Biometric Science

The Biometric is the study of physiological or behavioral characteristics used for the identification of a person. These characteristics of a person include the features like fingerprint, face; hand geometry, voice and iris are known as biometrics. Typical physiological features measured include individual’s fingerprints, retina, face, iris and hand. Typical behavioral features that can be meas...

متن کامل

Fingerprint Feature Extraction Using Hough Transform and Minutiae Extraction

Fingerprint recognition is done with minutiae points and non-minutiae points but, here minutiae points are used for fingerprint recognition. A fingerprint is collection of many ridges and furrows (Valleys). The continuous dark pattern flow in fingerprint is called ridges and the light area between ridges is called furrows. Fingerprint has some unique points on the ridge which is known as minuti...

متن کامل

Improving the Ridge Based Fingerprint Recognition Method Using Sweat Pores

Among several biometric traits possible to be used for people identification, fingerprint is still the most used. Current automated fingerprint identification systems are based on ridge patterns and minutiae, classified as first and second level features, respectively. However, the development of new fingerprint sensors and the growing demand for more secure systems are leading to the use of ad...

متن کامل

Fingerprint Matching Using Hierarchical Level Features

This paper proposes a fingerprint features extraction using different levels. The hierarchical order at four different levels, namely, Level 1 (pattern), Level 2 (minutia points), Level 3 (pores and ridge contours), and Level 4 (oscillated pattern). The fingerprint feature extraction frequently take advantage of Level 4 features to assist in identification, Automated Fingerprint Identification ...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004