A Novel Approach Based on PCNNs Template for Fingerprint Image Thinning

The performance of automatic fingerprint identification system (AFIS) is heavily determined by the quality of the input image, thus an effective method to enhance the fingerprint image is essential in such a system. In this paper, we combine the filter-based method, which is mostly used nowadays with wavelet transform to achieve a more reliable and effective approach to fingerprint enhancement. This novel approach consists of five main steps, namely: (1) normalization, (2) decomposition, (3) wavelet coefficient adjustment, (4) Gabor filtering, and (5) reconstruction. Using this new method, a more clear fingerprint image can be obtained, which can distinctly improve the accuracy of the minutiae extraction module and finally achieve a better performance of the entire system. Experiments have been conducted in our study and positive experimental results have been received, which show that the proposed combined method is more effective and robust than other existing methods such as the filter-based and direct gray-level approaches.

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A Novel Approach to Address Sensor Interoperability Using Gabor Filter

Oriental journal of computer science and technology ◽

10.13005/ojcst/10.02.27 ◽

2017 ◽

Vol 10 (2) ◽

pp. 446-453

Author(s):

Neha Bhatia ◽

Himani Himani ◽

Chander Kant

Keyword(s):

Reliable Method ◽

Gabor Filter ◽

Gabor Filters ◽

Poor Quality ◽

Significant Loss ◽

Biometric Authentication ◽

Biometric System ◽

Fingerprint Image ◽

Novel Approach ◽

Fingerprint Image Enhancement

Biometric authentication using fingerprint is one of the unique and reliable method of verification processes. Biometric System suffers a signiﬁcant loss of performance when the sensor is changed during enrollment and authentication process. In this paper fingerprint sensor interoperability problem is addressed using Gabor ﬁlter and classifying images into good and poor quality. Gabor ﬁlters play an important role in many application areas for the enhancement of various types of fingerprint images. Gabor ﬁlters can remove noise, preserve the real ridges and valley structures, and it is used for fingerprint image enhancement. Experimental results on the FVC2004 databases show improvements of this approach.

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Study of Fingerprint Image Preprocessing Technology

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.519-520.581 ◽

2014 ◽

Vol 519-520 ◽

pp. 581-584

Author(s):

Shuai Yuan ◽

Guo Yun Zhang ◽

Jian Hui Wu ◽

Long Yuan Guo

Keyword(s):

Recognition System ◽

Gabor Wavelet ◽

Fingerprint Image ◽

Image Preprocessing ◽

Identity Recognition ◽

Background Segmentation ◽

Image Thinning ◽

Segmentation Image ◽

Test Result ◽

Wavelet Algorithm

Fingerprint image preprocessing technology has been widely used with the development of intelligent identity recognition system, which studies fingerprint image restoration, enhancement and thinning based on digital image processing technology. This paper presents system design and realization of preprocessing technology for fingerprint image. Fingerprint image has restoration processing by adopting image filed calculation, image background segmentation, image equalization, image convergence and image smoothing algorithm in order at first. Then Gabor wavelet algorithm is used to enhance the contrast of fingerprint image. Image thinning algorithm is carried out to extract the skeleton of fingerprint image at last. Test result shows that the method presented has good accuracy, quick speed and strong robustness for realtime application.

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An Efficient Fingerprint Image Thinning Algorithm

American Journal of Software Engineering and Applications ◽

10.11648/j.ajsea.20130201.11 ◽

2013 ◽

Vol 2 (1) ◽

pp. 1 ◽

Cited By ~ 3

Author(s):

Davit Kocharyan

Keyword(s):

Fingerprint Image ◽

Thinning Algorithm ◽

Image Thinning

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ROTATED WAVELET FILTERS-BASED FINGERPRINT RECOGNITION

International Journal of Pattern Recognition and Artificial Intelligence ◽

10.1142/s0218001412560083 ◽

2012 ◽

Vol 26 (03) ◽

pp. 1256008 ◽

Cited By ~ 5

Author(s):

SANGITA D. BHARKAD ◽

MANESH KOKARE

Keyword(s):

Acceptance Rate ◽

Fingerprint Recognition ◽

Discrete Wavelet ◽

Fingerprint Matching ◽

False Acceptance Rate ◽

Fingerprint Image ◽

Significant Information ◽

Wavelet Filters ◽

Novel Approach

A novel approach for feature extraction of fingerprint matching is proposed by using two-dimensional (2D) rotated wavelet filters (RWF). 2D RWF are used to capture the characterization of diagonally oriented information present in fingerprint image. Proposed method extracts the significant information from small area of fingerprint image. Experimental results conducted on standard database of Bologna University and FVC2002 indicate that the proposed method improves the genuine acceptance rate (GAR) from 92.14% to 96.12% and reduces false acceptance rate (FAR) from 25.2% to 21.2% on Bologna University database and it reduces FAR from 36.71% to 22.79% on FVC2002 database compared with discrete wavelet transform-based approach.

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