An adaptive hybrid energy-based fingerprint matching technique

Nagaty, Khaled Ahmed

doi:10.1016/j.imavis.2004.12.001

Cited by 10 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, the correlation-based method broadly deals with texture description [10], ridge shape, and alignment. The principles of both of the methods are used by the hybrid method [11][12][13][14]. All of the above methods have more or less several imperfections.…”

Section: Introductionmentioning

confidence: 99%

A New Approach to Fingerprint Detection Using a Combination of Minutiae Points and Invariant Moments Parameters

Basak¹,

Islam²,

Amin³

2012

Journal of Information Processing Systems

View full text Add to dashboard Cite

Abstract-Different types of fingerprint detection algorithms that are based on extraction of minutiae points are prevalent in recent literature. In this paper, we propose a new algorithm to locate the virtual core point/centroid of an image. The Euclidean distance between the virtual core point and the minutiae points is taken as a random variable. The mean, variance, skewness, and kurtosis of the random variable are taken as the statistical parameters of the image to observe the similarities or dissimilarities among fingerprints from the same or different persons. Finally, we verified our observations with a moment parameter-based analysis of some previous works.

show abstract

Section: Introductionmentioning

confidence: 99%

A New Approach to Fingerprint Detection Using a Combination of Minutiae Points and Invariant Moments Parameters

Basak¹,

Islam²,

Amin³

2012

Journal of Information Processing Systems

View full text Add to dashboard Cite

show abstract

“…A modification of this method is hybrid matchers [1,39] which will use minutiae information to align the two prints thus cutting down on the time required to complete the alignment before going for the correlation scores. Another method has also been proposed which uses the combination of minutiae information and associated local ridge characteristics to design a matching algorithm based on what the paper terms -'Global Comprehensive Similarity' [40].…”

Section: Other Methods Of Fingerprint Matchingmentioning

confidence: 99%

Design and development of digital image processing techniques for latent fingerprint enhancement and separation

Singh¹

View full text Add to dashboard Cite

This project deals with image enhancement of fingerprints with a focus on latent prints. Latent prints are involuntary prints and hence are often of bad quality with large regions of non-recoverable information. While a standard inked and rolled print may contain essential data points, like the minutiae, in the region of forty and above, for matching of latent prints as little as eight points of match are required.

show abstract

Two-stage quality adaptive fingerprint image enhancement using Fuzzy C-means clustering based fingerprint quality analysis

Sharma

Dey

2019

Image and Vision Computing

View full text Add to dashboard Cite

Fingerprint recognition techniques are immensely dependent on quality of the fingerprint images. To improve the performance of recognition algorithm for poor quality images an efficient enhancement algorithm should be designed. Performance improvement of recognition algorithm will be more if enhancement process is adaptive to the fingerprint quality (wet, dry or normal). In this paper, a quality adaptive fingerprint enhancement algorithm is proposed. The proposed fingerprint quality assessment algorithm clusters the fingerprint images in appropriate quality class of dry, wet, normal dry, normal wet and good quality using fuzzy c-means technique. It considers seven features namely, mean, moisture, variance, uniformity, contrast, ridge valley area uniformity and ridge valley uniformity into account for clustering the fingerprint images in appropriate quality class. Fingerprint images of each quality class undergo through a two-stage fingerprint quality enhancement process. A quality adaptive preprocessing method is used as front-end before enhancing the fingerprint images with Gabor, short term Fourier transform and oriented diffusion filtering based enhancement techniques. Experimental results show improvement in the verification results for FVC2004 datasets. Significant improvement in equal error rate is observed while using quality adaptive preprocessing based approaches in comparison to the current stateof-the-art enhancement techniques.

show abstract

An adaptive hybrid energy-based fingerprint matching technique

Cited by 10 publications

References 20 publications

A New Approach to Fingerprint Detection Using a Combination of Minutiae Points and Invariant Moments Parameters

A New Approach to Fingerprint Detection Using a Combination of Minutiae Points and Invariant Moments Parameters

Design and development of digital image processing techniques for latent fingerprint enhancement and separation

Two-stage quality adaptive fingerprint image enhancement using Fuzzy C-means clustering based fingerprint quality analysis

Contact Info

Product

Resources

About