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Title:DVOSTOPENJSKO ADAPTIVNO IZBOLJŠANJE SLIKE PRSTNEGA ODTISA NIZKE KVALITETE NA OSNOVI UPOŠTEVANJA KONTEKSTNE INFORMACIJE
Authors:ID Kočevar, Marko (Author)
ID Kačič, Zdravko (Mentor) More about this mentor... New window
Files:.pdf DOK_Kocevar_Marko_2015.pdf (5,37 MB)
MD5: 6B77C7B0CAA2D1872303AC14330571E7
 
Language:Slovenian
Work type:Dissertation
Typology:2.08 - Doctoral Dissertation
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Izboljšanje slike prstnega odtisa je ključni korak v sistemu samodejnega prepoznavanja prstnih odtisov (angl. Automatican Fingerprint System - AFIS). Zaradi slabe kvalitete prstnega odtisa lahko algoritem izločanja značilk nepravilno izloči značilke, ki nato vplivajo na nepravilno ujemanje prstnih odtisov in posledično na neučinkovito prepoznavo oseb na podlagi prstnih odtisov. Tehnike izboljšanja slike prstnega odtisa temeljijo na izboljšanju v prostorski ter frekvenčni domeni ali pa kombinaciji obeh. V doktorski disertaciji je definiran postopek dvostopenjskega adaptivnega izboljšanja slike prstnega odtisa nizke kvalitete s kontekstnimi filtri, uporabljenimi na prvi stopnji (v prostorski domeni) in dodatno na drugi stopnji (v frekvenčni domeni). Kontekstne filtre uvrščamo med usmerjene filtre, ki so krmiljeni na osnovi kontekstnih informacij (frekvenca in orientacija lokalnega grebena) v sliki prstnega odtisa. Ti filtri lahko spreminjajo strukturo grebena in dolin, kar pomeni, da lahko povežejo prekinjene grebene oz. ločijo povezane grebene. Vendar pa je potrebno pred izboljšanjem slike prstnega odtisa s kontekstnimi filtri najprej izboljšati kontrast in čitljivost slike z neusmerjenimi filtri. V ta namen smo definirali blokovno lokalno normalizacijo, ki jo optimiziramo adaptivno glede na spremembo intenzitete sivine v originalni sliki prstnega odtisa. Za potrebe kontekstnega izboljšanja na prvi stopnji smo predstavili dve tehniki izboljšanja; usmerjeno linearna anizotropično difuzijo in usmerjeno kompenzacijo lokalnega grebena, ki smo jo prav tako optimizirali z adaptivnim spreminjanjem velikosti maske glede na stopnjo intenzitete sivine v originalni sliki prstnega odtisa. Za potrebe krmiljenja usmerjenega difuzijskega filtra smo orientacijo grebena na osnovi gradienta dodatno izboljšali in definirali usmerjeno polje. Na drugi stopnji sliko prstnega odtisa dodatno izboljšamo s kratkočasovno Fourierjevo transformacijo. Dvostopenjski adaptivni algoritem učinkovito izboljša sliko prstnega odtisa v primerjavi z najsodobnejšimi algoritmi. Eksperimentalni rezultati, izvedeni na javno dostopni bazi prstnih odtisov FVC, so potrdili uspešnost definiranega postopka
Keywords:Izboljšanje slike prstnega odtisa, dvostopenjski postopek, frekvenčna domena, prostorska domena, obdelava slike, prepoznavanje prstnega odtisa
Place of publishing:Maribor
Publisher:[M. Kočevar]
Year of publishing:2015
PID:20.500.12556/DKUM-47198 New window
UDC:004.352.242:343.982(043.3)
COBISS.SI-ID:278199808 New window
NUK URN:URN:SI:UM:DK:2Q3PAXFY
Publication date in DKUM:13.02.2015
Views:2378
Downloads:261
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:Two-stage adaptive enhancement of a low-quality fingerprint image on the basis of contextual information
Abstract:Fingerprint enhancement is a key step in the Automated Fingerprint Identification System (AFIS). Because of poor quality of fingerprint image, the algorithm for feature extraction may extract features incorrectly, which may lead to incorrect fingerprint matching and consequently to inefficient fingerprint-based identity verification. Techniques of fingerprint image enhancement are based on improvement in the spatial domain, frequency domain, or a combination of both. This thesis presents a two-stage adaptive enhancement of a low quality fingerprint image with contextual filters; initially in the first stage (spatial domain) and additionally in the second stage (frequency domain). Contextual filters are directional filters which are controlled by contextual information of the fingerprint image (local ridge frequency and orientation). These filters can change ridge structures by connecting disconnected ridges and separating connected ridges. However, before improving the fingerprint image with contextual filters, it is necessary to first improve contrast and readability of the fingerprint image with non-directional filters. For this purpose block-local normalization was used, which was optimized adaptively according to original image intensity information. Two methods of enhancement are presented to enhance context information in the first stage: oriented linear anisotropic diffusion and oriented local compensation filter, where the size of the mask is optimized adaptively according to the degree of intensity in the original fingerprint image. For the purposes of control of the oriented diffusion filter, ridge orientation was additionally improved on the basis of the gradient, so that we got a defined orientation field. In the second stage the fingerprint image was additionally enhanced with short-time Fourier transform. Adaptive two-stage algorithm effectively enhances the fingerprint image in comparison to some other state-of-the-art algorithms. Experimental results were obtained on a public fingerprint database FVC
Keywords:Fingerprint enhancement, two-stage, frequency domain, spatial domain, image processing, fingerprint recognittion


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