Relevant bibliographies by topics / Minutiae

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Minutiae'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Minutiae"

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BHOWMICK, PARTHA, ARIJIT BISHNU, BHARGAB BIKRAM BHATTACHARYA, MALAY KUMAR KUNDU, C. A. MURTHY, and TINKU ACHARYA. "DETERMINATION OF MINUTIAE SCORES FOR FINGERPRINT IMAGE APPLICATIONS." International Journal of Image and Graphics 05, no. 03 (July 2005): 537–71. http://dx.doi.org/10.1142/s0219467805001896.

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Many Automatic Fingerprint Identification Systems (AFIS) are based on minutiae matching. Minutiae are the terminations and bifurcations of the ridge lines in a fingerprint image. A gray-scale fingerprint image that has undergone binarization, followed by thinning, in order to extract the minutiae, may contain hundreds of minutiae, all of which are not so vivid and obvious in the original image. Thus, the set of minutiae that are well-defined and more prominent than the rest should be given higher relevance and importance in the process of minutiae matching. In this work, a gray-scale fingerprint image is first preprocessed to produce a thinned binary image. Next, a method to assign a score value to each of the extracted minutiae is proposed, based on certain topographical properties of a minutia. The score associated to a minutia signifies its robustness and prominence. A minutia with a higher score value should be considered with higher priority in the matching scheme to yield better results. Experimental results on several standard databases have been reported.
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ZHU, EN, JIAN-PING YIN, GUO-MIN ZHANG, and CHUN-FENG HU. "FINGERPRINT MINUTIAE RELATIONSHIP REPRESENTATION AND MATCHING BASED ON CURVE COORDINATE SYSTEM." International Journal of Image and Graphics 05, no. 04 (October 2005): 729–44. http://dx.doi.org/10.1142/s0219467805001987.

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A minutiae relationship representation and matching method based on curve coordinate system is proposed. For each minutia, a curve coordinate system is established, and the coordinates of other minutiae in this coordinate system is computed. Thus, the coordinate relationship between each pair of minutiae can be evaluated. These relationships are used for pairing minutiae between the template fingerprint and the query fingerprint by means of transferring reference minutiae. The algorithm is tested on FVC2004DBs which include many highly distorted fingerprints. Results have shown that the proposed algorithm achieves improved matching accuracy and is able to cope with highly distorted fingerprints.
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Loyola-González, Octavio, Emilio Francisco Ferreira Mehnert, Aythami Morales, Julian Fierrez, Miguel Angel Medina-Pérez, and Raúl Monroy. "Impact of Minutiae Errors in Latent Fingerprint Identification: Assessment and Prediction." Applied Sciences 11, no. 9 (May 4, 2021): 4187. http://dx.doi.org/10.3390/app11094187.

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We study the impact of minutiae errors in the performance of latent fingerprint identification systems. We perform several experiments in which we remove ground-truth minutiae from latent fingerprints and evaluate the effects on matching score and rank-n identification using two different matchers and the popular NIST SD27 dataset. We observe how missing even one minutia from a fingerprint can have a significant negative impact on the identification performance. Our experimental results show that a fingerprint which has a top rank can be demoted to a bottom rank when two or more minutiae are missed. From our experimental results, we have noticed that some minutiae are more critical than others to correctly identify a latent fingerprint. Based on this finding, we have created a dataset to train several machine learning models trying to predict the impact of each minutia in the matching score of a fingerprint identification system. Finally, our best-trained model can successfully predict if a minutia will increase or decrease the matching score of a latent fingerprint.
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Jain, Rajneesh, Sheelesh Kr Sharma, and Pankaj Agrawal. "Performance Analysis of Fingerprint Based Image Enhancement and Minutiae Extraction." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 5 (June 2, 2018): 43. http://dx.doi.org/10.23956/ijarcsse.v8i5.663.

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Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification and classification. Minutiae are local discontinuities in the fingerprint pattern, mainly terminations and bifurcations. In this work we have propose a method for fingerprint image enhancement. Using histogram equalization over filtering and then minutia are calculated. The results achieved are compared with those obtained through some other methods. The Results show some improvement in the minutiae extraction in terms of quantity.
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Cooke, John. "Giant minutiae." New Scientist 203, no. 2720 (August 2009): 25. http://dx.doi.org/10.1016/s0262-4079(09)62087-x.

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Coker, David. "Myriad minutiae." New Scientist 203, no. 2724 (September 2009): 27. http://dx.doi.org/10.1016/s0262-4079(09)62341-1.

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ZHANG, HONGYUN, DUOQIAN MIAO, and CAIMING ZHONG. "MODIFIED PRINCIPAL CURVES BASED FINGERPRINT MINUTIAE EXTRACTION AND PSEUDO MINUTIAE DETECTION." International Journal of Pattern Recognition and Artificial Intelligence 25, no. 08 (December 2011): 1243–60. http://dx.doi.org/10.1142/s0218001411009135.

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It is difficult but crucial for minutiae extraction and pseudo minutiae deletion of low quality fingerprint images in auto fingerprint identification systems. Traditional methods based on thinning images or gray-level images are, however, susceptible to noise. Reference 14 indicated that principal curves based fingerprint minutiae extraction was feasible to overcome the drawback, but the extended polygonal line (EPL) principal curves algorithm used in the paper extracted the principal curves ineffectively. As the fingerprint data sets are usually large, the original EPL principal curves algorithm is time-consuming. Meanwhile, scattered fingerprint data lead to the deviation of fingerprint skeleton. In this paper, the algorithm is modified, and a fingerprint minutiae extraction and pseudo minutiae detection method based on principal curves is proposed. Experimental results show that the modified EPL principal curves algorithm outperforms the original EPL algorithm both in efficiency and quality, and the proposed minutiae extraction method outperforms the methods proposed by Miao under noise conditions.
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Fanglin Chen, Jie Zhou, and Chunyu Yang. "Reconstructing Orientation Field From Fingerprint Minutiae to Improve Minutiae-Matching Accuracy." IEEE Transactions on Image Processing 18, no. 7 (July 2009): 1665–70. http://dx.doi.org/10.1109/tip.2009.2017995.

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Cao, Kai, Xin Yang, Xinjian Chen, Xunqiang Tao, Yali Zang, Jimin Liang, and Jie Tian. "Minutia handedness: A novel global feature for minutiae-based fingerprint matching." Pattern Recognition Letters 33, no. 10 (July 2012): 1411–21. http://dx.doi.org/10.1016/j.patrec.2012.03.007.

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Popovic, Brankica, and Ljiljana Maskovic. "Fingerprint minutiae filtering based on multiscale directional information." Facta universitatis - series: Electronics and Energetics 20, no. 2 (2007): 233–44. http://dx.doi.org/10.2298/fuee0702233p.

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Automatic identification of humans based on their fingerprints is still one of the most reliable identification methods in criminal and forensic applications, and is widely applied in civil applications as well. Most automatic systems available today use distinctive fingerprint features called minutiae for fingerprint comparison. Conventional feature extraction algorithm can produce a large number of spurious minutiae if fingerprint pattern contains large regions of broken ridges (often called creases). This can drastically reduce the recognition rate in automatic fingerprint identification systems. We can say that for performance of those systems it is more important not to extract spurious (false) minutia even though it means some genuine might be missing as well. In this paper multiscale directional information obtained from orientation field image is used to filter those spurious minutiae, resulting in multiple decrease of their number.
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Dissertations / Theses on the topic "Minutiae"

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Ström, Bartunek Josef. "FINGERPRINT IMAGE ENHANCEMENT, SEGMENTATION AND MINUTIAE DETECTION." Doctoral thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-11149.

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Prior to 1960's, the fingerprint analysis was carried out manually by human experts and for forensic purposes only. Automated fingerprint identification systems (AFIS) have been developed during the last 50 years. The success of AFIS resulted in that its use expanded beyond forensic applications and became common also in civilian applications. Mobile phones and computers equipped with fingerprint sensing devices for fingerprint-based user identification are common today. Despite the intense development efforts, a major problem in automatic fingerprint identification is to acquire reliable matching features from fingerprint images with poor quality. Images where the fingerprint pattern is heavily degraded usually inhibit the performance of an AFIS system. The performance of AFIS systems is also reduced when matching fingerprints of individuals with large age variations. This doctoral thesis presents contributions within the field of fingerprint image enhancement, segmentation and minutiae detection. The reliability of the extracted fingerprint features is highly dependent on the quality of the obtained fingerprints. Unfortunately, it is not always possible to have access to high quality fingerprints. Therefore, prior to the feature extraction, an enhancement of the quality of fingerprints and a segmentation are performed. The segmentation separates the fingerprint pattern from the background and thus limits possible sources of error due to, for instance, feature outliers. Most enhancement and segmentation techniques are data-driven and therefore based on certain features extracted from the low quality fingerprints at hand. Hence, different types of processing, such as directional filtering, are employed for the enhancement. This thesis contributes by proposing new research both for improving fingerprint matching and for the required pre-processing that improves the extraction of features to be used in fingerprint matching systems. In particular, the majority of enhancement and segmentation methods proposed herein are adaptive to the characteristics of each fingerprint image. Thus, the methods are insensitive towards sensor and fingerprint variability. Furthermore, introduction of the higher order statistics (kurtosis) for fingerprint segmentation is presented. Segmentation of the fingerprint image reduces the computational load by excluding background regions of the fingerprint image from being further processed. Also using a neural network to obtain a more robust minutiae detector with a patch rejection mechanism for speeding up the minutiae detection is presented in this thesis.
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Li, Tuo. "Fingerprint Identification by Improved Method of Minutiae Matching." Miami University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=miami1484672769912832.

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Forsythe, Christopher Michael. "Seeing the unseen: revealing invisible and visible minutiae." Thesis, University of Iowa, 2012. https://ir.uiowa.edu/etd/2872.

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Sight is the most important of our five senses. It allows us to navigate our environment, find food and avoid danger. Sight can be used to accurately render a drawing or to recognize nuance in a form. It can also be used in more dynamic ways to parse the complicated social systems and customs that build our societies. Despite all that we can see, we are inundated with what we cannot. This inability to see can be categorized into two subdivisions: items that possess characteristics that are beyond our eye's physical capacity of perception (e.g. microscopic objects or electromagnetic radiation) and items and situations whose exact presence goes unnoticed due to our mind's conditioning from repeated exposure (e.g. glass in a window frame or halftone dots that form a printed picture). Through the use of special instruments or awareness raising techniques these invisible objects can be brought to light. Artists and their art have often played important roles in society by revealing things that go unnoticed and making them plain to see for all. These revelations can be as simple as capturing the beauty of a natural landscape or as controversial as portraying the impact of religion, gender or oppression in our communities. My most recent set of prints investigate "seeing the unseen" by meditating on the minutiae and microscopic organisms that permeate our surroundings yet escape our attention. By utilizing handmade paper's tactile qualities, juxtaposing seemingly dissimilar objects and the use of bold and often times unnatural color, I have attempted to create a space where items of different scales can exist side by side so we can revel in their wonder, discover visual similarities between objects and plainly see them with our own eyes.
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Noor, Azad. "A new algorithm for minutiae extraction and matching in fingerprint." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/7473.

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A novel algorithm for fingerprint template formation and matching in automatic fingerprint recognition has been developed. At present, fingerprint is being considered as the dominant biometric trait among all other biometrics due to its wide range of applications in security and access control. Most of the commercially established systems use singularity point (SP) or ‘core’ point for fingerprint indexing and template formation. The efficiency of these systems heavily relies on the detection of the core and the quality of the image itself. The number of multiple SPs or absence of ‘core’ on the image can cause some anomalies in the formation of the template and may result in high False Acceptance Rate (FAR) or False Rejection Rate (FRR). Also the loss of actual minutiae or appearance of new or spurious minutiae in the scanned image can contribute to the error in the matching process. A more sophisticated algorithm is therefore necessary in the formation and matching of templates in order to achieve low FAR and FRR and to make the identification more accurate. The novel algorithm presented here does not rely on any ‘core’ or SP thus makes the structure invariant with respect to global rotation and translation. Moreover, it does not need orientation of the minutiae points on which most of the established algorithm are based. The matching methodology is based on the local features of each minutiae point such as distances to its nearest neighbours and their internal angle. Using a publicly available fingerprint database, the algorithm has been evaluated and compared with other benchmark algorithms. It has been found that the algorithm has performed better compared to others and has been able to achieve an error equal rate of 3.5%.
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Hoyle, Kevin. "Minutiae Triplet-based Features with Extended Ridge Information for Determining Sufficiency in Fingerprints." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/34010.

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In order to deliver statistical and qualitative backing to latent fingerprint evidence, algorithms are proposed (1) to perform fingerprint matching to aid in quality assessment, and (2) to discover statistically rare features or patterns in fingerprints. These features would help establish an objective minimum-quality baseline for latent prints as well as aid in the latent examination process in making a matching comparison. The proposed methodologies use minutiae triplet-based features in a hierarchical fashion, where not only minutia points are used, but ridge information is used to help establish relations between minutiae. Results show (1) that our triplet-based descriptor is useful in eliminating false matches in the matching algorithm, and (2) that a set of distinctive features can be found that have sufficient discriminatory power to aid in quality assessment.
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Burba, Donatas. "Piršto atspaudo naudojimas šifravimo rakto generavimui." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2010~D_20100813_112757-39181.

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Saugiais gali būti laikomi tik užšifruoti duomenys, o šifravimas neįmanomas be šifravimo rakto. Vienas iš geriausiai žinomų ir plačiausiai naudojamų šifravimo raktų yra slaptažodis, tačiau pagrindinis jo trūkumas tas, kad jį reikia atsiminti. Šioje situacijoje gali padėti biometrija, kadangi praktiškai kiekvienas žmogus turi unikalias charakteristikas. Tačiau pagrindinė problema yra - kaip iš biometrinių charakteristikų suformuoti šifravimo raktą. Pirštų atspaudai yra gerai žinoma biometrinė charakteristika, naudojama žmonių identifikavimui ir tapatybės patvirtinimui, o USB atmintinėse ar nešiojamuosiuose kompiuteriuose integruoti pirštų atspaudų skaitytuvai jau nieko nebestebina. Kiekvienas piršto atspaudas gali būti aprašytas minutiae taškų matrica iš kurios būtų galima generuoti šifravimo raktą. Tačiau netgi to paties piršto atspaudai nėra identiški ir į tai reikia atsižvelgti. Šiame darbe pateikiamas vienas tiesioginių šifravimo raktų generavimo iš pirštų atspaudų metodas. Iš atspaudo suformuojama minutiae taškų matrica, iš jos suformuojami parametrai ir perduodami raktų generatoriams. Matricų formavimui panaudoti du produktai, realizuoti 8 generatoriai, formuojantys 64 ir 128 bitų ilgio šifravimo raktus. Sistema ištestuota su pasiruošta pirštų atspaudų duomenų baze, pateikti gauti rezultatai.
Only encrypted data can be treated as secure data and encryption is impossible without encryption key. One of the best known and widely used encryption keys is password, but the main its drawback is necessity to remember it. Biometrics may help to avoid this situation, because everyone has unique characteristics. But the main question is how to extract encryption key from biometric data. Fingerprints are well known biometric characteristic, used for people identification or authentication and fingerprint readers integrated into USB flash drives or laptops don’t cause surprise any more. Every fingerprint can be described using minutiae points’ matrix and from this matrix encryption key can be generated. But fingerprints of the same finger aren’t identical, so this must be kept in mind as well. In this research one method of direct encryption key generation from fingerprint is introduced. Minutiae matrix is structured from fingerprint image; parameters are formed and passed to encryption key generators. Two products were used for making matrix and eight generators were produced, generating encryption keys length of 64 and 128 bits. This system was tested with prepared fingerprint set and all the results are given.
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Currie, Dayna Frances. "Analysis of nine compound minutiae with respect to race, gender, and specific finger location." Thesis, Boston University, 2012. https://hdl.handle.net/2144/12337.

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Thesis (M.S.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.
The NAS report in 2009 brought to light a number of issues within the field of fingerprint identification resulting in a push for more research into the statistical side of fingerprint identification. (1) Previous research has focused mainly on the most commonly observed minutiae (points of variance) within the fingerprints such as ridge endings, bifurcations and dots, with less focus on compound minutiae, which consist of less common variations of the basic minutia types. (2-13) Nine different types of compound minutiae were chosen for analysis in this study: trifurcations, islands/short ridges, lakes/enclosures, bifurcations opposite a ridge ending, bridges, opposed bifurcations, deviated ridges, handshakes, and hooks/spurs. The fingerprints of one hundred individuals from five different racial/ethnic groups were examined in order to determine whether any correlations were observed between race, gender, or specific finger location and the numbers/type of compound minutiae observed. The data revealed that the largest percentage of total compound minutiae observed (30%) was on the fingerprints obtained from people with a White racial/ethnic background, followed by individuals coming from a White Hispanic background (22%). Islands were the minutia type observed most frequently (34%), followed closely by lakes (31 %); deviated ridges and trifurcations were observed the least (1 %). When the total amounts of compound minutiae were calculated with respect to finger location, the greatest amount of the minutiae points, about 30%, were located on thumbs and the least amount, about 12%, were located on little fingers. With respect to gender, the greatest amount of minutiae (57%) was located on the fingerprints of males. With the exception of lakes, all of the compound minutiae were observed more often on the fingerprints of males than on those of females. Based on Chi-Square analysis, correlations were determined between race/ethnicity and the occurrence of compound minutiae, between finger location and the occurrence of compound minutiae, and between gender and the occurrence of compound minutiae.
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Arakala, Arathi, and arathi arakala@ems rmit edu au. "Secure and Private Fingerprint-based Authentication." RMIT University. Mathematical and Geospatial Sciences, 2008. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20081128.102017.

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This thesis studies the requirements and processes involved in building an authentication system using the fingerprint biometric, where the fingerprint template is protected during storage and during comparison. The principles developed in this thesis can be easily extended to authentication systems using other biometric modalities. Most existing biometric authentication systems store their template securely using an encryption function. However, in order to perform matching, the enrolled template must be decrypted. It is at this point that the authentication system is most vulnerable as the entire enrolled template is exposed. A biometric is irreplaceable if compromised and can also reveal sensitive information about an individual. If biometric systems are taken up widely, the template could also be used as an individual's digital identifier. Compromise in that case, violates an individual's right to privacy as their transactions in all systems where they used that compromised biometric can be tracked. Therefore securing a biometric template during comparison as well as storage in an authentication system is imperative. Eight different fingerprint template representation techniques, where templates were treated as a set of elements derived from the locations and orientations of fingerprint minutiae, were studied. Four main steps to build any biometric based authentication system were identified and each of the eight fingerprint template representations was inducted through the four steps. Two distinct Error Tolerant Cryptographic Constructs based on the set difference metric, were studied for their ability to securely store and compare each of the template types in an authentication system. The first construct was found to be unsuitable for a fundamental reason that would apply to all the template types considered in the research. The second construct did not have the limitation of the first and three algorithms to build authentication systems using the second construct were proposed. It was determined that minutiae-based templates had significant intra sample variation as a result of which a very relaxed matching threshold had to be set in the authentication system. The relaxed threshold caused the authentication systems built using the first two algorithms to reveal enough information about the stored templates to render them insecure. It was found that in cases of such large intra-sample variation, a commonality based match decision was more appropriate. One solution to building a secure authentication system using minutiae-based templates was demonstrated by the third algorithm which used a two stage matching process involving the second cryptographic construct and a commonality based similarity measure in the two stages respectively. This implementation was successful in securing the fingerprint template during comparison as well as storage, with minimal reduction in accuracy when compared to the matching performance without the cryptographic construct. Another solution is to use an efficient commonality based error tolerant cryptographic construct. This thesis lists the desirable characteristics of such a construct as existence of any is unknown to date. This thesis concludes by presenting good guidelines to evaluate the suitability of different cryptographic constructs to protect biometric templates of other modalities in an authentication system.
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Henriksson, Marcus. "Analys av fingeravtryck." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1219.

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This report describes a system for verification of fingerprints against a previous created template. It describes how and why a fingerprint image must be processed before it can be used to either identify or verify a person. The method is based on special features of a fingerprint, called minutiae points. The whole process from image to matching is described, every step in the process with image enhancement, binarization, thinning and how to find the minutiae points. Also what false minutiae points are, how they arise, why they deteriorate the result, and how to handle them, is discussed.

Finally a test of the system with a large number of fingerprints is presented, to see how good the system is according to security and reliability about not accepting prints from other fingers or reject the fingerprints, which are from the same finger as the template. Many proposals about how the performance and the security of the system can be improved are also presented.

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Skoupilová, Alena. "Rozpoznávání podobnosti otisků prstu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413028.

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The main goal of this thesis is to introduce the meaning of identification and specific meaning of personal identification and mainly fingerprint identification. There is introduction to the meaning of biometrics as a key field for fingerprint recognition. Thesis also introduces principals and types of automatic processing and automatic detection of fingerprints. An existing and succesful methods are being described in the thesis and an automatic fingerprint identification alghoritm is being realized and described. Reability of the alghoritm is tested within experimental database.
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Books on the topic "Minutiae"

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Sotheby's (Firm). Robert Rauschenberg Minutiae. New York: Sotheby's, 2003.

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Averill, Simon. Simon Averill, minutiae. Cornwall: Goldfish Contemporary Fine Art, 2007.

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Kim, Aijung. Minutiae: Rose City summer. Portland, OR: the author, 2008.

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Kim, Aijung. Minutiae: Wandering sweet pea. Richmond, VA: the author, 2009.

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Jason, Schultz, ed. Magic quizdom: Disneylandia minutiae semper absurda. Anaheim, Calif: Zauberreich Press, 2003.

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Brown, Janine Francoise. A quantitative analysis of friction ridge minutiae. Sudbury, Ont: Laurentian University, 2003.

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Sotheby, Parke-Bernet, London. Robert Rauschenberg Minutiae: ... Tuesday May 13, 2003. New York: Sotheby's, 2003.

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Michael, McCabe R., and National Institute of Standards and Technology (U.S.), eds. Fingerprint minutiae from latent and matching tenprint images. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2000.

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Vital statistics: An amazing compendium of factoids, minutiae, and random bits of wisdom. New York: Plume, 2005.

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Konstantinov, Grigor. Minutite na vechnoto: Stikhotvorenii͡a︡. Sofii͡a︡: Poligraf, 1995.

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Book chapters on the topic "Minutiae"

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Kushwaha, Riti, and Neeta Nain. "Person Using Minutiae." In Proceedings of 3rd International Conference on Computer Vision and Image Processing, 285–99. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9291-8_23.

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Amminaidu, B., and V. Sreerama Murithy. "Fingerprint Reconstruction: From Minutiae." In ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol II, 79–86. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03095-1_9.

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Cappelli, Raffaele, Matteo Ferrara, and Davide Maltoni. "Minutiae-Based Fingerprint Matching." In Intelligent Systems Reference Library, 117–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28457-1_7.

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Muñoz-Briseño, Alfredo, José Hernández-Palancar, and Andrés Gago-Alonso. "Minutiae Based Palmprint Indexing." In Computational Forensics, 10–19. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20125-2_2.

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Verma, Karun, and Ishdeep Singla. "Fingerprint and Minutiae Points Technique." In Advances in Intelligent Systems and Computing, 491–99. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1602-5_52.

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Bhanu, Bir, and Xuejun Tan. "Learned Templates for Minutiae Extraction." In Computational Algorithms for Fingerprint Recognition, 13–32. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4615-0491-7_2.

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Rehder, Robert. "The Grand Poem: Preliminary Minutiae." In The Poetry of Wallace Stevens, 56–86. London: Palgrave Macmillan UK, 1988. http://dx.doi.org/10.1007/978-1-349-18961-8_2.

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Wahab, A., E. C. Tan, and A. Jonatan. "Direct Gray-Scale Minutiae Extraction." In Biometric Authentication, 280–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25948-0_39.

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Bolle, Ruud M., Andrew W. Senior, Nalini K. Ratha, and Sharath Pankanti. "Fingerprint Minutiae: A Constructive Definition." In Biometric Authentication, 58–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47917-1_7.

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Gayathri, S., and V. Sridhar. "Implementation of Minutiae Extraction and False Minutiae Elimination for Fingerprint Image on FPGA." In Lecture Notes in Electrical Engineering, 9–20. New Delhi: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1157-0_2.

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Conference papers on the topic "Minutiae"

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Yao, Z., B. Vibert, C. Charrier, and C. Rosenberger. "Blind minutiae selection for standard minutiae templates." In IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2015). IEEE, 2015. http://dx.doi.org/10.1109/isba.2015.7126367.

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Phromsuthirak, Krisada, and Vutipong Areekul. "Can We Distinguish Genuine Minutiae from Imposter Minutiae." In 2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2020. http://dx.doi.org/10.1109/ecti-con49241.2020.9158254.

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Haiyun Xu, Raymond N. J. Veldhuis, Tom A. M. Kevenaar, Anton H. M. Akkermans, and Asker M. Bazen. "Spectral minutiae: A fixed-length representation of a minutiae set." In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops). IEEE, 2008. http://dx.doi.org/10.1109/cvprw.2008.4563120.

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Yang, Bian, and Christoph Busch. "Generalized fingerprint minutiae vicinities." In 2012 5th IAPR International Conference on Biometrics (ICB). IEEE, 2012. http://dx.doi.org/10.1109/icb.2012.6199809.

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Bian Yang and C. Busch. "Keyed Scalable Minutiae Coding." In 2011 International Conference on Hand-Based Biometrics (ICHB). IEEE, 2011. http://dx.doi.org/10.1109/ichb.2011.6094296.

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Chugh, Tarang, Sunpreet S. Arora, Anil K. Jain, and Nicholas G. Paulter. "Benchmarking Fingerprint Minutiae Extractors." In 2017 International Conference of the Biometrics Special Interest Group (BIOSIG). IEEE, 2017. http://dx.doi.org/10.23919/biosig.2017.8053498.

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Simoens, Koen, Chi-Ming Chang, and Bart Preneel. "Reversing protected minutiae vicinities." In 2010 IEEE Fourth International Conference On Biometrics: Theory, Applications And Systems (BTAS). IEEE, 2010. http://dx.doi.org/10.1109/btas.2010.5634506.

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Yang, Bian, and Christoph Busch. "Augmented fingerprint minutiae vicinity." In 2011 18th IEEE International Conference on Image Processing (ICIP 2011). IEEE, 2011. http://dx.doi.org/10.1109/icip.2011.6116400.

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Prabhakar, Preethy, and Tony Thomas. "Finger Vein Identification Based on Minutiae Feature Extraction with Spurious Minutiae Removal." In 2013 Third International Conference on Advances in Computing and Communications (ICACC). IEEE, 2013. http://dx.doi.org/10.1109/icacc.2013.45.

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Belguechi, R., C. Rosenberger, and S. Ait-Aoudia. "Biohashing for Securing Minutiae Template." In 2010 20th International Conference on Pattern Recognition (ICPR 2010). IEEE, 2010. http://dx.doi.org/10.1109/icpr.2010.292.

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Reports on the topic "Minutiae"

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Wu, Jin Chu, and Michael D. Garris. Nonparametric statistical data analysis of fingerprint minutiae exchange with two-finger fusion. Gaithersburg, MD: National Institute of Standards and Technology, 2006. http://dx.doi.org/10.6028/nist.ir.7376.

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Dutra, Jose. Minute Paper. NPT Educacional, April 2015. http://dx.doi.org/10.17699/sed.001.

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Trimmer, Paul A., and Donald E. Tiano. Mild Wind Series, Minute Steak Event. Fort Belvoir, VA: Defense Technical Information Center, November 1992. http://dx.doi.org/10.21236/ada286599.

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Abbiasov, Timur, Cate Heine, Edward Glaeser, Carlo Ratti, Sadegh Sabouri, Arianna Salazar Miranda, and Paolo Santi. The 15-Minute City Quantified Using Mobility Data. Cambridge, MA: National Bureau of Economic Research, December 2022. http://dx.doi.org/10.3386/w30752.

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Chavali, Murthy. We ingest plastics every minute of the day. Edited by S. Vicknesan. Monash University, February 2023. http://dx.doi.org/10.54377/d232-26e4.

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Makrigiorgos, G. M. Expression and Genomic Profiling of Minute Breast Cancer Samples. Addendum. Fort Belvoir, VA: Defense Technical Information Center, July 2007. http://dx.doi.org/10.21236/ada473876.

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Day, Tamra. A Correlational Study: The 1-minute Measure of Homonymy and Intelligibility. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6771.

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Stein, Joshua S., Abraham Ellis, and Clifford W. Hansen. Simulation of one-minute power output from utility-scale photovoltaic generation systems. Office of Scientific and Technical Information (OSTI), August 2011. http://dx.doi.org/10.2172/1029801.

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Tesink, K., ed. Textual Conventions for MIB Modules Using Performance History Based on 15 Minute Intervals. RFC Editor, January 1999. http://dx.doi.org/10.17487/rfc2493.

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Tesink, K., ed. Textual Conventions for MIB Modules Using Performance History Based on 15 Minute Intervals. RFC Editor, September 2003. http://dx.doi.org/10.17487/rfc3593.

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