On the Influence of Fingerprint Area in Partial Fingerprint Recognition

نویسندگان

  • Fanglin Chen
  • Jie Zhou
چکیده

Conventional algorithms for fingerprint recognition are mainly based on minutiae information. However, the small number of minutiae in partial fingerprints is still a challenge in fingerprint matching. In fingerprint recognition systems, there are frequently appeared partial fingerprints, such as incompletely touching in fingerprint scanning or latent fingerprints. In this paper, we studied the influence of the fingerprint area in partial fingerprint recognition. First, a simulation scheme was proposed to construct a serial of partial fingerprints with different area. Then, the influence of the fingerprint area in partial fingerprint recognition is studied. By comparing the performance of partial fingerprint recognition with different fingerprint area, some useful conclusions can be drawn: (1) The decrease of the fingerprint area degrades the performance of partial fingerprint recognition; (2) When the fingerprint area decreases, the genuine matching scores will decrease, whereas the imposter matching scores will increase; (3) When the area of partial fingerprints is smaller than 20,000 pixels (about fifth of the normal full fingerprints), the performance of partial fingerprint recognition becomes very poor; (4) The threshold value of a given false accept rate increases when the area of partial fingerprints decrease a lot, but it remains almost the same if the area of partial fingerprints decrease not so much, e.g., greater than 50,000 pixels (about half of the normal full fingerprint). These observations can be helpful in improving the performance of partial fingerprint recognition in the future.

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

Minutiae - Based Partial Fingerprint Recognition

Although fingerprint matching based on minutia features is a well researched problem in the field of automatic fingerprint recognition, it is still an unsolved problem presenting many research challenges. Many algorithms have been proposed to match a pair of minutia templates of fingerprints. Most of these algorithms assume that the two templates are approximately of the same size. This assumpt...

متن کامل

A Robust Strucutural Fingerprint Restoration

Fast and accurate ridge detection in fingerprints is essential to each AFIS (Automatic Fingerprint Identification System). Smudged furrows and cut ridges in the image of a finger print are major problems in any AFIS. This paper investigates a new online ridge detection method that reduces the complexity and costs associated with the fingerprint identification procedure. The noise in fingerprint...

متن کامل

Design of Novel High Sensitive MEMS Capacitive Fingerprint Sensor

In this paper a new design of MEMS capacitive fingerprint sensors is presented. The capacitive sensor is made of two parallel plates with air gap. In these sensors, the capacitance changes is very important factor. It is caused by deformation of the upper electrode of sensor. In this study with making slots in upper electrode, using T-shaped protrusion on diaphragm in order to concentrate the f...

متن کامل

An Automatic Fingerprint Classification Algorithm

Manual fingerprint classification algorithms are very time consuming, and usually not accurate. Fast and accurate fingerprint classification is essential to each AFIS (Automatic Fingerprint Identification System). This paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorit...

متن کامل

Fingerprint Recognition Using Level 3 Feature Extraction Method and Matching Using Sift Algorith

to design fingerprint Level 3 feature extraction method and match using SIFT algorithm. Firstly fingerprint of good quality are acquired by using optical scanner. Image normalization is done using Gaussian blurring and sliding window contrast adjustment. Pores are extracted and estimated. Using these estimated pores, matching is done from template database to stored database using SIFT algorith...

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 2012