Image Quality Measures for Fingerprint Image Enhancement

Biometric authentication using fingerprint is one of the unique and reliable method of verification processes. Biometric System suffers a signiûcant loss of performance when the sensor is changed during enrollment and authentication process. In this paper fingerprint sensor interoperability problem is addressed using Gabor ûlter and classifying images into good and poor quality. Gabor ûlters play an important role in many application areas for the enhancement of various types of fingerprint images. Gabor ûlters 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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“…The Gabor-based quality classiûcation aids in classifying images into good and poor quality images 8 …”

Section: Gabor-based Quality Classiûcationmentioning

confidence: 99%

A Novel Approach to Address Sensor Interoperability Using Gabor Filter

2017

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“…A preprocessing in the Fourier domain is applied to enhance the ridge-valley pattern, afterwards an enhancement based on the approach from [7] is applied. The first step consists of multiplying the Fourier representation with a ring filter around its origin (see [8]) followed by a zero-mean normalization. The second step consists of estimating local orientations and a corresponding reliability map, both based on gradients.…”

Section: Extended Abstractmentioning

confidence: 99%

Visibility Assessment of Latent Fingerprints on Challenging Substrates in Spectroscopic Scans

Hildebrandt

Makrushin

Qian

et al. 2013

Communications and Multimedia Security

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Abstract. Our objectives for crime scene forensics are to find the substrates on which finger traces are visible in limited ranges of the electromagnetic spectrum using UV-VIS reflection spectroscopy and to determine the optimal ranges in the interval from 163 to 844 nm. We subjectively assess the visibility of fingerprints within detailed scans with a resolution of 500 ppi and compare the results with those of an automatic visibility assessment based on the streakiness score. Ten different substrates are evaluated, each with three fingerprints from different donors. Streakiness score is confirmed to be a suitable fingerprint visibility indicator on non-structured substrates. We identify two substrates, namely metallic paint and blued metal, on which ridge lines become visible exclusively in UV range from 200 to 400 nm and from 210 to 300 nm correspondingly.Keywords: Forensics, latent fingerprints, UV-VIS spectroscopy, fingerprint visibility assessment. Extended AbstractAs the most common form of trace evidence left at crime scenes, latent fingerprints pose the most challenges for forensic experts [1]. Since they are present rather often yet invisible unless brought out with chemical and/or physical processes designed to enhance the visibility of fingerprint residues [2] (e.g. fuming, powdering, or deposition of chemical reagent), it is important to identify substrate dependent technique or reagent and the appropriate processing sequence for successful enhancement. In today's crime scene forensics three kinds of substrate properties are known [2][3]: 1) porous substrates (e.g. paper) are absorbent and provide good adhesion for latent fingerprints; 2) non-porous substrates (e.g. glass) do not absorb, so latent fingerprints on such substrates are more susceptible to damage; 3) semi-porous substrates (e.g. glossy cardboard) both resist and absorb fingerprint residue, so it may or may not soak in depending on its viscosity as well as on the absorbent properties of the substrates. Since substrates have different characteristics regarding the absorption of fingerprint residues and light reflection, different fingerprint development techniques are required. On challenging substrates these techniques have an invasive nature as they involve applying alien substances on the fingerprint residue, thus causing

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“…In each session, three palmprint images from the right palm were collected. In order to automatically assess the quality of the images in the database, we use the method proposed in [12] to classify the images into five levels: (1) good, (2) normal, (3) dry, (4) wet and (5) spoiled (Fig. 1).…”

Section: Image Acquisitionmentioning

confidence: 99%

“…The proposed palmprint image processing framework consists of the following stages: (1) Minimum Bounder Rectangle (MBR) definition, (2) orientation correction, (3) finger removal, (4) Region of Interest (ROI) segmentation, (5) image classification and equalization [12], (6) Short Time Fourier Transform [2], (7) directional field (DF) estimation, (8) frequency estimation, (9) recoverable ridges detection, (10) Gabor Filtering and (11) delta point(s) detection.…”

Section: Image Preprocessingmentioning

confidence: 99%

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Biometric recognition of newborns: Identification using palmprints

Lemes

Bellon

Silva

et al. 2011

2011 International Joint Conference on Biometrics (IJCB)

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We present some results on newborn identification through high-resolution images of palmar surfaces. To our knowledge, there is no biometric system currently available that can be effectively used for newborn identification. The manual procedure of capturing inked footprints in practice for this purpose is limited for use inside hospitals and is not an effective solution for identification purposes. The use of friction ridge patterns on the hands of newborns is challenging due to both the small size of newborn's papillary ridges, which are, on average, 2.5 to 3 times smaller than the ridges in adult fingerprints, and their fragility, making them amenable to deformation. The proposed palmprint based automatic system for newborn identification is relatively easy to use and shows the feasibility of this approach. Experiments were performed on images collected from 250 newborns at the University Hospital (Universidade Federal do Paraná). An image acquisition protocol was developed in order to collect suitable images. When considering the good quality palmar images, the results show that the proposed approach is promising.

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Image Quality Measures for Fingerprint Image Enhancement

Cited by 14 publications

References 8 publications

A Novel Approach to Address Sensor Interoperability Using Gabor Filter

A Novel Approach to Address Sensor Interoperability Using Gabor Filter

Visibility Assessment of Latent Fingerprints on Challenging Substrates in Spectroscopic Scans

Biometric recognition of newborns: Identification using palmprints

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