Advances in Fingerprint Technology
01 Jan 2019-pp 13-36
TL;DR: This chapter focuses on how fingerprint technology can be used to improve speed and accuracy of certain processes, i.e. exams as the society accepts this as part of everyday life as well as in an educational setting where youngsters are much used to digital technologies.
Abstract: Fingerprint technology has evolved immensely since its initial use in the 1800s when it was used solely to assist with crime investigations. It is now used as a convenience replacing passwords and PIN numbers from logging into bank accounts, mobile devices, gaining access into rooms and various other processes where time plays a key factor. This chapter focuses on how fingerprint technology can be used to improve speed and accuracy of certain processes, i.e. exams as the society accepts this as part of everyday life. In particular, we look at a use case in an educational setting where youngsters are much used to digital technologies as part of their daily life.
Citations
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TL;DR: Compared to latent fingerprint development by traditional methods, the new methods using fluorescent nanomaterials can achieve high contrast, sensitivity, and selectivity while showing reduced toxicity.
Abstract: This review presents an overview on the application of latent fingerprint development techniques in forensic sciences. At present, traditional developing methods such as powder dusting, cyanoacrylate fuming, chemical method, and small particle reagent method, have all been gradually compromised given their emerging drawbacks such as low contrast, sensitivity, and selectivity, as well as high toxicity. Recently, much attention has been paid to the use of fluorescent nanomaterials including quantum dots (QDs) and rare earth upconversion fluorescent nanomaterials (UCNMs) due to their unique optical and chemical properties. Thus, this review lays emphasis on latent fingerprint development based on QDs and UCNMs. Compared to latent fingerprint development by traditional methods, the new methods using fluorescent nanomaterials can achieve high contrast, sensitivity, and selectivity while showing reduced toxicity. Overall, this review provides a systematic overview on such methods.
168 citations
TL;DR: The results proved that the used software functioned perfectly until a compression ratio of (30–40%) of the raw images; any higher ratio would negatively affect the accuracy of the used system.
Abstract: Despite the large body of work on fingerprint identification systems, most of it focused on using specialized devices. Due to the high price of such devices, some researchers directed their attention to digital cameras as an alternative source for fingerprints images. However, such sources introduce new challenges related to image quality. Specifically, most digital cameras compress captured images before storing them leading to potential losses of information. This study comes to address the need to determine the optimum ratio of the fingerprint image compression to ensure the fingerprint identification system’s high accuracy. This study is conducted using a large in-house dataset of raw images. Therefore, all fingerprint information is stored in order to determine the compression ratio accurately. The results proved that the used software functioned perfectly until a compression ratio of (30–40%) of the raw images; any higher ratio would negatively affect the accuracy of the used system.
154 citations
TL;DR: PPV nanoparticles in colloidal solution have high sensitivity in developing fingerprints to give very clearly fluorescent patterns, and the preliminary mechanism investigation suggested that selectivity achieved toward the ridge of the fingerprint is very likely due to the affinity between PPV molecules and oily secretions of the fingerprints.
Abstract: Poly(p-phenylenevinylene) (PPV) nanoparticles in aqueous colloidal solution have been prepared via a modified Wessling method, with the addition of surfactant. The fluorescent colloidal solution was used as the developing solution to develop the fingerprints on different substrates. The developing process was accomplished simply by immersing the substrates into developing solution and then taking out, followed by rinsing with deionized water. The initial study about the fingerprints on the adhesive tapes showed that the developing solution is very effective in fluorescence development on both fresh and aged visible fingerprints; and such an effect was negligibly affected by treating the fingerprints with water or other organic solvents, whether before developing or after. Further study on latent fingerprints (LFPs) demonstrated that PPV nanoparticles in colloidal solution have high sensitivity in developing fingerprints to give very clearly fluorescent patterns. At least 6 months of storage of the colloid...
78 citations
TL;DR: In this article, a background-free, nondestructive, and easy-to-perform method for LFP imaging based on pH-mediated recognition of LFPs by carboxyl group-functionalized Zn2GeO4:Mn (ZGO:mn-COOH) persistent luminescence nanorods (PLNRs).
Abstract: Latent fingerprints (LFPs) are highly specific to individuals, and LFP imaging has played an important role in areas such as forensic investigation and law enforcement. Presently, LFP imaging still faces considerable problems, including background interference and destructive and complex operations. Herein, we have designed a background-free, nondestructive, and easy-to-perform method for LFP imaging based on pH-mediated recognition of LFPs by carboxyl group-functionalized Zn2GeO4:Mn (ZGO:Mn-COOH) persistent luminescence nanorods (PLNRs). By simply adjusting the pH of the ZGO:Mn-COOH colloid dispersion to a certain acidic range, the negatively charged ZGO:Mn-COOH readily binds to protonated fingerprint ridges via electrostatic attraction. The ZGO:Mn-COOH colloid dispersion can be stored in portable commercial spray bottles, and the LFPs have been easily detected in situ by simply dropping the colloid dispersion on the LFPs. Moreover, since the ZGO:Mn-COOH can remain luminescent after excitation ceases, background color and background fluorescence interference were efficiently removed by simply capturing the luminescent LFP images after the excitation ceased. The entire LFP imaging process can be easily conducted without any destructive or complex operations. Due to the great versatility of the developed method for LFP imaging, clear LFP images with well-resolved ridge patterns were obtained. The designed background-free, nondestructive, and easy-to-perform LFP imaging strategy has great potential for future applications, such as forensic investigations and law enforcement.
47 citations
TL;DR: This new approach for using ninhydrin is combined with an optimized extraction protocol and the concept of determining gender from fingerprints, and is able to focus on the biochemical material rather than exclusively the physical image.
Abstract: In the past century, forensic investigators have universally accepted fingerprinting as a reliable identification method via pictorial comparison. One of the most traditional detection methods uses ninhydrin, a chemical that reacts with amino acids in the fingerprint content to produce the blue-purple color known as Ruhemann’s purple. It has recently been demonstrated that the amino acid content in fingerprints can be used to differentiate between male and female fingerprints. Here, we present a modified approach to the traditional ninhydrin method. This new approach for using ninhydrin is combined with an optimized extraction protocol and the concept of determining gender from fingerprints. In doing so, we are able to focus on the biochemical material rather than exclusively the physical image.
46 citations
References
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TL;DR: This work proposes an original technique, based on ridge line following, where the minutiae are extracted directly from gray scale images, and results achieved are compared with those obtained through some methods based on image binarization.
Abstract: Most automatic systems for fingerprint comparison are based on minutiae matching. Minutiae are essentially terminations and bifurcations of the ridge lines that constitute a fingerprint pattern. Automatic minutiae detection is an extremely critical process, especially in low-quality fingerprints where noise and contrast deficiency can originate pixel configurations similar to minutiae or hide real minutiae. Several approaches have been proposed in the literature; although rather different from each other, all these methods transform fingerprint images into binary images. In this work we propose an original technique, based on ridge line following, where the minutiae are extracted directly from gray scale images. The results achieved are compared with those obtained through some methods based on image binarization. In spite of a greater conceptual complexity, the method proposed performs better both in terms of efficiency and robustness.
677 citations
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TL;DR: An automated fingerprint recognition system is described that is successfully used by law enforcement and many other applications such as identity management and access control.
Abstract: Fingerprint matching has been successfully used by law enforcement for more than a century. The technology is now finding many other applications such as identity management and access control. The authors describe an automated fingerprint recognition system and identify key challenges and research opportunities in the field.
194 citations
01 Jan 2015
TL;DR: This is an excerpt from the content Synonyms Fingerprint benchmark; Fingerprint corpora; fingerprint dataset; and Fingerprint dataset.
Abstract: This is an excerpt from the contentSynonymsFingerprint benchmark; Fingerprint corpora; Fingerprint datasetDefinitionFingerprint databases are structured collections of fingerprint data mainly used ...
116 citations
Posted Content•
TL;DR: The proposed fingerprint verification FRMSM provides reliable and better performance than the existing technique and grows need to identify a person for security.
Abstract: The popular Biometric used to authenticate a person is Fingerprint which is unique and permanent throughout a person's life A minutia matching is widely used for fingerprint recognition and can be classified as ridge ending and ridge bifurcation In this paper we projected Fingerprint Recognition using Minutia Score Matching method (FRMSM) For Fingerprint thinning, the Block Filter is used, which scans the image at the boundary to preserves the quality of the image and extract the minutiae from the thinned image The false matching ratio is better compared to the existing algorithm Key-words:-Fingerprint Recognition, Binarization, Block Filter Method, Matching score and Minutia I Introduction Biometric systems operate on behavioral and physiological biometric data to identify a person The behavioral biometric parameters are signature, gait, speech and keystroke, these parameters change with age and environment However physiological characteristics such as face, fingerprint, palm print and iris remains unchanged through out the life time of a person The biometric system operates as verification mode or identification mode depending on the requirement of an application The verification mode validates a person's identity by comparing captured biometric data with ready made template The identification mode recognizes a person's identity by performing matches against multiple fingerprint biometric templates Fingerprints are widely used in daily life for more than 100 years due to its feasibility, distinctiveness, permanence, accuracy, reliability, and acceptability Fingerprint is a pattern of ridges, furrows and minutiae, which are extracted using inked impression on a paper or sensors A good quality fingerprint contains 25 to 80 minutiae depending on sensor resolution and finger placement on the sensor The false minutiae are the false ridge breaks due to insufficient amount of ink and cross-connections due to over inking It is difficult to extract reliably minutia from poor quality fingerprint impressions arising from very dry fingers and fingers mutilated by scars, scratches due to accidents, injuries Minutia based fingerprint recognition consists of Thinning, Minutiae extraction, Minutiae matching and Computing matching score Motivation: The motivation behind the work is growing need to identify a person for security The fingerprint is one of the popular biometric methods used to authenticate human being The proposed fingerprint verification FRMSM provides reliable and better performance than the existing technique Contribution: In this paper we used Fingerprint Recognition using Minutia Score Matching method with the help of MATLAB codes Minutiae are extracted from the thinned image for both template and input image Finally both the images are subjected to matching process and matching score is computed Organization: This paper is organized into the following sections Section II is an overview of the related work, in section III describes Model for fingerprint recognition in detail Section IV gives the algorithm In section V performance analysis and results are discussed and finally in section VI give the conclusions
114 citations
Posted Content•
TL;DR: This paper presents a review of a large number of techniques present in the literature for extracting fingerprint minutiae, broadly classified as those working on binarized images and those that work on gray scale images directly.
Abstract: Fingerprints are the oldest and most widely used form of biometric identification. Everyone is known to have unique, immutable fingerprints. As most Automatic Fingerprint Recognition Systems are based on local ridge features known as minutiae, marking minutiae accurately and rejecting false ones is very important. However, fingerprint images get degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are employed prior to minutiae extraction. A critical step in automatic fingerprint matching is to reliably extract minutiae from the input fingerprint images. This paper presents a review of a large number of techniques present in the literature for extracting fingerprint minutiae. The techniques are broadly classified as those working on binarized images and those that work on gray scale images directly.
102 citations