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            HANDWORK is a smart tool enabling us to deal with 2D shape of a human hand, recognize it and classify it. HANDWORK uses MS WIA automation tool to obtain primary RGB image of the human hand in high resolution. The database of images can be obtained both from a classic digital compact camera or with use a special tool named biometric scanner. The image is first preprocessed to obtain a grayscale image and consequently the B&W image. The B&W image stand for an input product that is filtered with use of many different digital filters so as the significantly better image was obtained. The filtered image is then used to calculate a hand shape contour which is represented by a set of pixels. The hand contour and the vector image are used in classification. The hand contour has 5 fully moveable fingers in 2D and 6 knuckles; the thumb has 2 knuckles. HANDWORK also enables to correct a centric radial image distortion with use the set of cascaded evolutionary estimators. Both a pillow or a barrel distortion. A back mapping or a direct mapping method is at disposal. Proposed correction method is semi-automatic. A user has to define the center of the image and a set of squared calibration marks manually.

 

HANDWORK is a 32-bit application. HANDWORK was designed to operate under 32 bit and 64-bit version of Windows 2000 SP4, XP SP2/SP3, Vista, 7, 8.x, 10 with library .NET 3.5 and .NET 4.7.2. HANDWORK was fully tested under VMWare 15, MS Virtual PC 2007 and VirtualBox.

 

 

 

 

 

  DESCRIPTION 

 

 

HANDWORK (HW) provides broad ensemble of utilities enabling to obtain, filtrate and classify the images of the contour of the human hand. Important part of (HW) contains collection of a camera calibrators, which enable precisely calibrate the image obtained from the biometric scanner and to remove barrel or pincushion distortion of the image.

 

cely scanner.bmp

 

 

Semi-automatic or Automatic Barrel or Pincushion Distortion Correction

(HW) contains several tools which enable efficiently calibrate compact cameras and remove small centric radial barrel and pincushion distortion. Brown’s  polynomial model is used as a model of distortion

 

 

Direct Mapping Method for Distortion Removing

Undistorted image

Distorted image

Corrected image – gray points

Filtered/nonfiltered image

IMG x15y12 U001.bmp

IMG x15y12 D001 A1 B0 C-015 D0 E-025 F0 G0.bmp

calibration_final_image_jde BW.bmp

corrected_image uncorrected.bmp

LENA Undistorted image

LENA Distorted image

LENA Corrected image

Primary jDE optimizer convergence

Lena 2592x1944x24.bmp

LENA A1 B0 C-015 D0 E-025 F0 G0.bmp

corrected_image.bmp

Nepojmenovaný.bmp

Elected distortion polynomial for Lena image:

 

The correction polynomial obtained using DMAM alg.:

 

 

 

 

 

 

 

 

 

 

 

  DOWNLOAD

HANDWORK System

System

Version / Platform / File type / Size

Description

Download

 

 

 

 

 

 

 

 

HANDWORK full x32

 

HANDWORK 1.4

 

 

 

 

 

 

 

1:  v1.25012021 (latest version)

6:  v1.04012020

 

Windows 7, 8, 10 – 32 or 64bit

RAR file / 1.40 GB

 

Developed for Windows 7 x32 SP1 Classic Theme

Requires MS Chart control library for .NET 3.5

Requires MS-VS-2015+2019 Redistributable-x32

Requires MS .NET 4.7.2 library

Requires CenterSpace MathNet 5.2 library (optionally)

CloudStorage 6: DOI: 10.6084/m9.figshare.13176212

 

 

HANDWORK full version.

 

Complete software tool enabling to acquire and process images of a human hand. Image feeder uses Microsoft WIA interface. Classic still-CCD cameras or WEB cameras can be attached. A camera calibration tool is an important part of this project. This module enables to correct radial centric distortion generally. Pillow or barrel distortion can be corrected. An image processing module provides powerful preprocessing and filtration tool. Handwork contains several very useful classifiers enabling to classify all images stored in an internal database. This module contains 1, 7, 8 and 9 dimensional evolutionary estimators. This module also enables to compute all statistical indicators FAR, FRR, ERR, ROC, IR + values for charts. (HW) can work with e.g. a THID database. This database is free but a license agreement is required. A CenterSpace MathNet 5.2 library can be installed optionally. This mathematical library is used especially for all matrix calculations e.g. in estimators which use cma-es optimizer. NMath library provides faster and accurate calculation for distortion correctors and also in some hand classifiers.  

 

 

 

 

 

 

 

 

 

 

 

1:  Download

6: Download

 

 

 

Subsidiary Tools

 

 

1:  v1.04012020

 

Windows 32 bit, 64bit / ZIP file / 1.32 GB

 

 

All prerequisites for Windows 32bit and 64bit.

Windows Installer 3.1, .NET libraries 2.0+3.5 SP1, SlimDX v2.0 March 2011, MS Visual Studio 2008 redistributable package SP1, NMath 5.2 MSChart, WIAlib, a bit of DirectX lib, some useful sw. (HW) for Win7, 8,10 and later uses implicit windows WIA2.0 library files. (HW) for WinXP has its own copy of WIA1.0 libraries in (HW) directory.

 

 

 

 

1:  Download

 

 

 

SlimDX Runtime Libraries

 

 

1:  v1.04012020

Windows 32 bit, 64bit / ZIP file / 0.50 GB

 

 

A package of SlimDX Runtime libraries

 


1: 
Download

 

 

HANDWORK full x32

(HW) ready to run

 

 

Complete system + examples

All-in-one in a VMWare image

 

 

Use Free VMWare Player or latest

 VMWare Pro for Windows and Linux

 

1:  v1.04012020

 

Windows 7, 8, 10, Linux*

32+64bit / RAR file / 9.5 GB

Image for VMWare 15 and later versions

 

*tested: Fedora, RedHat, Debian, Ubuntu, SuSe, Mandriva

 

HANDWORK full version – VMWare Image.

Complete software tool enabling to acquire and process images of a human hand. Image feeder uses Microsoft WIA interface. Classic still-CCD cameras or WEB cameras can be attached. A camera calibration tool is an important part of this project. This module enables to correct radial centric distortion generally. Pillow or barrel distortion can be corrected. An image processing module provides powerful preprocessing and filtration tool. Handwork contains several very useful classifiers enabling to classify all images stored in an internal database. This module contains 1, 7, 8 and 9 dimensional evolutionary estimators. This module also enables to compute all statistical indicators FAR, FRR, ERR, ROC, IR + values for charts. (HW) can work with e.g. a THID database. This database is free but a license agreement is required. A CenterSpace MathNet 5.2 library can be installed optionally. This mathematical library is used especially for all matrix calculations e.g. in estimators which use cma-es optimizer. NMath library provides faster and accurate calculation for distortion correctors and also in some hand classifiers.  

 

 

 

 

 

 

1:  Download

linux.jpg

LINUX

windows.jpg

WINDOWS

 

 

 

 

Key: (1: primary site, 2: mirror site), HANDWORK  uses  1: ‘uloz.to’ ,  2: ‘onedrive.live.com’, 6: ‘figshare.com’  free cloud data storage services. There is no 24x7 guarantee. Maybe it will work, keep smile and be happy - life is short J.  Version format: ddmmyyy. At maintenance time, primary site will be renewed as the first and will be unattainable.

As the system was developed for Windows 7x32 SP1 Classic Theme, it is necessary to switch to the Windows 7 Classic Theme if it is possible.

The Primary site ‘uloz.to’ (1:) will contain up-to-date version of HANDWORK x32 system only !!!. 

It is, firstly download any source and also (HW) from the primary site and overwrite all files by data from the primary site.

 

 

 

 

HANDWORK (v1.x) Copyright © 2020 J.Moravec

 

HANDWORK’ software is distributed as is and WITHOUT ANY WARRANTY.

 

HANDWORK is GNU (General Public License) and is free software.

 

You can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.

 

THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM “AS IS” WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION.

 

IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES.

 

 

 

HANDWORK version detection

Deployment and installation of the HANDWORK parts:

All versions have ID_number in main HANDWORK directory. Something like _HWv1.03092014 alias _HWv#.DDMMYYY, where # is actual version, DDMMYYY is day of the month(DD), month(MM) and year(YYYY) of last update (date in European format).

HANDWORK is divided into several standalone parts with one main exe module. All standalone modules need HANDWORK directory structure and all RTF, BMP etc. files, included to this directory structure. Main HANDWORK module and all standalone modules have identical name ‘HANDWORK.EXE’. Correct deployment of these files is important. Every standalone module can run without existence of the main module or any other module(s).

HANDWORK Installation instruction

Subsidiary tools required for HANDWORK x32 for Windows:

HANDWORK has no full installer at this time. Follow these instructions:

 

(0. Install ALL subsidiary tools first i.e. SlimDX DirectX library, Math Libraries etc. if it is necessary.)

1. Create suitable directory manually ... 'C:\HANDWORK' for example (it is recommended).

2. Copy content of ZIPped file to the directory - 'C:\HANDWORK'.

3. Run Install.exe file in 'C:\HANDWORK' directory.

4. Select HANDWORK working directory - 'C:\HANDWORK' for example (it is

    recommended) + register.

5. Try to register wiaaut.dll library (if it is necessary)

   This file is placed in C:\HANDWORK\bin\WIAAutomation, but this step is usually done by

   Install.exe.

6. Install manually MSChart.exe which is placed to - 'c:\HANDWORK\bin\MSChart'

7. Install manually MSChart_VisualStudioAddOn.exe which is placed to -   

    'c:\HANDWORK\bin\MSChart'

 

MS .NET 3.1 SP1 + 4.7.2 is required. Recommended monitor resolution is min. 1680x1050 or higher.  (HW) was created under Windows 7 x32 Classic theme

 

HANDWORK requires for its full functionality these libraries, Windows XP 32bit (installation sequence may be important). See Subsidiary tools above. HANDWORK requires for its full functionality. Windows 7 SP1 x32 (installation sequence may be important):

 

1/ .NET3.5 library + .NET3.5 library SP1

2/ .NET 4.7.2 library for Win7 version

3/ SlimDX SDK library 2.xx March 2011 (must be installed first)

4/ SlimDX SDK library 4.xx September 2011

5/ MS VC++ 2008 SP1 redistributable package.

6/ MS VC++ 2010 + 2015 redistributable package (required by NMath 5.2)

7/ MS VC++ 2019 redistributable package

8/ Matlab version 5.0 or higher

9/ NMath library 5.2 for Win x32, x64, XP, Vista,7, 8 + use StudentLicenseKey

10/ MSChart.exe. MS Charting library.

11/ MSChart_VisualStudioAddOn.exe. MS Charting library.

12/ wiaaut.dll, Interop.WIA.1.0.dll, Interop.WIALib.1.0.dll - all registered using regsvr32.exe command.

 

All components (subsidiary tools) must be installed manually.

 

*HANDWORK uses some DLLs from SlimDX March 2011 and some from September 2011. So, you need both versions. If 64bit Windows is concerned, .NET 4.0 Full version have to be installed, Client Profile version only is NOT enough. SlimDX SDK is required as well. By the way, HANDWORK uses ‘comma’ as a decimal separator. Some Windows - US versions use dot. To correct this problem, you have to change local setting in windows ControlPanel folder: LocalAndLanguagesSettings, if necessary.

 

 

  SUBSIDIARY TOOLS LOCATION 

Subsidiary Tools

System

Platform

Link

Status

Microsoft .NET 2.0

Windows XP

http://www.microsoft.com/download/en/details.aspx?id=19

Free

Microsoft .NET 2.0 SP2

Windows XP

http://www.microsoft.com/download/en/details.aspx?id=1639

Free

Microsoft .NET 3.5

Windows XP

http://www.microsoft.com/download/en/details.aspx?id=21

Free

Microsoft .NET 3.5 SP1

Windows XP

http://www.microsoft.com/download/en/details.aspx?id=22

Free

Microsoft .NET 4.7.2

Windows 7

https://dotnet.microsoft.com/download/visual-studio-sdks?utm_source=getdotnetsdk&utm_medium=referral

Free

Windows Installer 3.1

Windows XP

http://www.microsoft.com/download/en/details.aspx?id=25

Free

SlimDX SDK 2.0 March 2011

Windows XP, Vista, 7, 8

http://slimdx.org/download.php

Free

Microsoft Visual C++ 2008 SP1

Redistributable Package

Windows XP, Vista, 7, 8

http://www.microsoft.com/download/en/details.aspx?id=5582

Free

Microsoft Visual C++ 2010 Redistributable Package

Windows XP, Vista, 7, 8

http://www.microsoft.com/en-us/download/details.aspx?id=5555

http://www.microsoft.com/en-us/download/details.aspx?id=14632

Free

Microsoft Visual C++ 2015 Redistributable Package

Windows 7 x32

https://www.microsoft.com/en-us/download/details.aspx?id=52685

Free

Microsoft XNA 3.1 Installer

Windows XP, Vista, 7, 8

http://www.microsoft.com/en-us/download/details.aspx?id=39

Free

CenterSpace NMath Library

Windows 7 x32

https://www.centerspace.net/

NOT Free

 

 

 

    SCREENSHOTS    

HANDWORK, Image ‘feeder’, using MS WIA automation

Preprocessing step, creation B&W image, countour + vectorization

1.jpg

2.jpg

Preprocessing step, Grayscale Image

Contour classifier, L1-norm, high speed classifier, using Radial Distance Diagram

3.jpg

4.jpg

L1-norm classifier, comparator type of ‘ONE-with-ONE’

Camera calibrator-distortion remover, CEE-CMA+CMA

5.jpg

CMA+CMA.bmp

Camera calibrator-distortion remover, CEE-jDE+jDE

Manual Barrel/Pincushion Distortion Correction Tool

jDE+jDE and cal im.bmp

manual BDCý.bmp

 

 

 

 

 

 

  INTERESTING LINKS 

BIOMETRICS

 

Biometrics Wikipedia

http://en.wikipedia.org/wiki/Biometrics

 

Biometric Consortium

http://www.biometrics.org/bc2004/bc2004.php

 

Biometrics – Hand Shape Geometry

http://en.wikipedia.org/wiki/Hand_geometry

 

 

 

 

 

 

 

Anup Basu

http://webdocs.cs.ualberta.ca/~anup/

 

Jean Yves Bouguet

http://www.vision.caltech.edu/bouguetj/

 

H. Dersch

http://webuser.fh-furtwangen.de/~dersch/

 

Paul Bourke

http://paulbourke.net/

 

Tanner Helland

http://www.tannerhelland.com/4743/simple-algorithm-correcting-lens-distortion/

 

Bosphorus Hand & Face database

Bogazici University (http://www.boun.edu.tr/en_US)

http://bosphorus.ee.boun.edu.tr/

 

The Hong Kong Polytechnic University 3D Fingerprint Images Database

http://www4.comp.polyu.edu.hk/~csajaykr/3Dfingerprint.htm

 

The Hong Kong Polytechnic University Finger Image Database (Version 1.0)

http://www4.comp.polyu.edu.hk/~csajaykr/fvdatabase.htm

 

IIT Delhi Ear Database

http://www4.comp.polyu.edu.hk/~csajaykr/IITD/Database_Ear.htm

 

The Hong Kong Polytechnic University Low Resolution Fingerprint Database

http://www4.comp.polyu.edu.hk/~csajaykr/fplr.htm

 

IIT Delhi Iris Database

http://www4.comp.polyu.edu.hk/~csajaykr/IITD/Database_Iris.htm

 

IIT Delhi Touchless Palmprint Database

http://www4.comp.polyu.edu.hk/~csajaykr/IITD/Database_Palm.htm

 

Ajay Kumar

Department of Computing, The Hong Kong Polytechnic University, Hong Kong, Palmprint Database

http://www4.comp.polyu.edu.hk/~csajaykr/

 

The Hong Kong Polytechnic University Contact-free 3D/2D Hand Images Database

http://www4.comp.polyu.edu.hk/~csajaykr/myhome/database_request/3dhand/Hand3D.htm

 

Hand Geometric Points Detection Competition

Hands database

https://web.fe.up.pt/~hgc2011/

 

East Shore Technolofies

Fingerprint database

http://www.east-shore.com/data.html

 

Biometrics Ideal Test - Database

Iris, Fingerprint, Face, Palmprint, Handwriting, Signature

http://biometrics.idealtest.org/

 

Carlos M. Travieso, Biometric Systems

The University of Las Palmas de Gran Canaria

http://www.gpds.ulpgc.es/

 

The Group of Biometrics, Biosignals and Security (GB2S)

Hand geometry, Gait, Face recognition, Iris biometrics, In-air signature, Stress detection, Odour biometry, Keystroke dynamics

http://gb2s.es/

 

Dr. Shiv Ram Dubey

https://sites.google.com/site/shivram1987/Profile

 

EMGU Library

http://www.emgu.com/wiki/files/4.1.1/document/html/8dee1f02-8c8a-4e37-87f4-05e10c39f27d.htm

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

GENERAL INTERESTING LINKS

 

C++ FAQ - How accurate floating point comparison is?

http://www.softwareandfinance.com/CPP/FAQ_Floating_Point.html

 

Why don't floating point comparisons work?

https://floating-point-gui.de/errors/comparison/

http://prokutfaq.byethost15.com/FloatCompare

 

floating point numbers

http://www.cygnus-software.com/papers/comparingfloats/Comparing%20floating%20point%20numbers.htm

 

What Every Computer Scientist Should Know About Floating-Point Arithmetic

http://download.oracle.com/docs/cd/E19957-01/806-3568/ncg_goldberg.html

 

THOMSON & REUTERS

SCIENCE CITATION INDEX EXPANDED

http://ip-science.thomsonreuters.com/mjl/publist_sciex.pdf

http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=D&Alpha=I

http://mjl.clarivate.com/

 

Web of Science

http://www.webofknowledge.com

http://images.webofknowledge.com

 

WoS + SCOPUS Conferences

https://www.kth.se/en/kthb/publicering/bibliometri/guides-and-faq/faq-bibliometrics/which-journals-and-conference-proceedings-are-covered-by-web-of-science-and-scopus-1.546260

 

SCOPUS index

https://blog.scopus.com/posts/titles-indexed-in-scopus-check-before-you-publish

https://www.scopus.com/sources.uri?DGCID=Scopus_blog_post_check2015

http://www.elsevier.com/online-tools/scopus/content-overview

https://files.sciverse.com/documents/xlsx/title_list.xlsx

https://www.scopus.com/sources.uri

 

Cite Factor List

http://www.scijournal.org/

http://www.citefactor.org/journal-impact-factor-list-2014.html

http://www.letpub.com/index.php?page=journalapp

http://www.omicsonline.org/open-access-journals-impact-factors.php?gclid=CInLneiPmM4CFYU_GwodHHYIiA

 

SCIMAGO, Scimago Journal & Country Rank

http://www.scimagojr.com/

 

Top Journals for Computer Science and Electronics

http://www.guide2research.com/journals/

http://www.guide2research.com/journals/list-2015.pdf

 

Conferences ranking

http://www.core.edu.au/conference-portal

 

Cyril Stachniss - How to write a scientific paper

https://uloz.to/!2dO7R9GeRY48/how-to-write-a-scientific-papaer-pdf

 

Scientific Results Definition, Czech Republic

Link

 

CitEc Org

http://citec.repec.org/

 

Conferences in Czech Republic

https://www.clocate.com/conferences/czech-republic/co-cz/

 

WoS (University access)

http://apps.webofknowledge.com/

 

WoS (Home access)

link

link2

 

Remote DB sources, UPCE

https://knihovna.upce.cz/uk/e-zdroje

 

ORCID Identifier

https://studenti.upce.cz/uk/orcid

 

UPCE Library info

https://knihovna.upce.cz/node/37606#Kde%20zjist%C3%ADm%20EID

 

Journal Influence Score  

http://help.incites.clarivate.com/incitesLiveJCR/glossaryAZgroup/g4/7790-TRS.html

 

InCites Journal Citation Report

link

 

Bibliometrie

link1   link2   link3   link4

 

IS/STAG Manual

https://is-stag.zcu.cz/napoveda/

 

 

 

 

Some journals, EA

http://www.macs.hw.ac.uk/~ml355/journals.htm

 

EspaceNet – Patent Documents

https://worldwide.espacenet.com/

 

ArXIV.org, Cornell university

https://arxiv.org/search/cs

 

Taylor Francis

http://explore.tandfonline.com/page/est/ect-impact-factors

 

Scientific result definition

http://www.vyzkum.cz/FrontClanek.aspx?idsekce=29415

 

Top Journals for Computer Science and Electronics

http://www.guide2research.com/journals/

http://www.guide2research.com/journals/list-2015.pdf

 

Springer impacted journals

http://www.springer.com/computer/impact+factor+journals+computer+science?SGWID=0-1743318-12-863108-0

 

Open Access Journals Impact Factor List

http://www.omicsonline.org/open-access-journals-impact-factors.php?gclid=CIb25bXdhs0CFRYTGwodCHYM1w

 

CDER France

https://www.cder.dz/spip.php?article1510

 

KITTI Vision Benchmark Suite

http://www.cvlibs.net/datasets/kitti/index.php

 

Computer Vision Group TUM Department of Informatics
Technical University of Munich

https://vision.in.tum.de/

 

PBO - Polar Bear Optimizer, in C#, verified by author

https://uloz.to/file/EbAQDrLUP39k/pbo-zip-rar-file

 

Receiver operating characteristic

https://en.wikipedia.org/wiki/Receiver_operating_characteristic

 

Confusion matrix

https://en.wikipedia.org/wiki/Confusion_matrix

 

ROC curve

https://cs.wikipedia.org/wiki/ROC_k%C5%99ivka

 

Equal Error Rate, EER

https://www.researchgate.net/figure/An-example-of-a-ROC-curve-its-AUC-and-its-EER_fig1_225180361

https://www.quora.com/How-can-I-understand-the-EER-Equal-Error-Rate-and-why-we-use-it

 

BS-tree, KD-tree, Quad Tree, RedBlack Tree

https://uloz.to/file/uroooyQhdpnq/tree-bvs-kd-rb-qt-hashchain-rar

 

Bison Algorithm, MS VS 2019 C# .NET 4.7.2 WinForms

https://uloz.to/file/X25hWnI7Npbw/bisonseekingalgorithm-03062020-zip

 

ROC diagram creation (CZE), EER, FAR, FRR

https://uloz.to/file/XVRMivO4kljZ/zpusob-vypoctu-roc-krivky-a-pridruzenych-koeficientu-docx

 

Technologické centrum Akademie věd ČR

https://www.tc.cz/cs/

 

 

 

 

 

 

 

 

 

 

  DONATE

face-smile-4.pngfinal.jpgface-smile-4.png

HANDWORK project is free, but you can donate this project by any suitable sock.

 

 

 

 

 

 

 

 

 

 

  SPONSORS

CENTER SPACE Software USA

centerspace.bmp

 

kocourek.jpg

 

RIMET.jpg

 

ulozto2.tif   endora2.tif  LAV.jpg

 

 

 

 

 

 

 

 

  PUBLICATIONS 

        Journal Papers

 

 

·          Moravec J., Hub M., 2016. Automatic Correction of Barrel Distorted Images Using Cascaded Evolutionary Estimator, Journal Information Sciences, vol. 366, pp. 70-98, DOI: http://dx.doi.org/10.1016/j.ins.2016.03.055

 

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·          Moravec J., Hub M., 2015. Camera Calibration Using Direct Mapping and Adaptive Metaheuristic, International Journal of Bio-Science and Bio-Technology, vol. 7, no. 3, pp. 111-120, DOI: 10.14257/ijbsbt.2015.7.3.11

WEB: https://www.scopus.com/sourceid/19900192586 ,  SRJ:  https://www.scimagojr.com/journalsearch.php?q=19900192586&tip=sid&clean=0

 

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·          Moravec J., 2020. Hand Contour Classification Using Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover,

Information Technology and Control, vol. 49, no. 1, pp. 55-79, open access, DOI: https://doi.org/10.5755/j01.itc.49.1.24140

 

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THID

database:

Downloads-Black-Folder-icon.png

·          Moravec J., 2020. A Polynomial-Division Based Correction Model for Camera Calibration: A Large Comparative Study, Sadhana-Academy Proceedings in Engineering Science, vol. 45, no. 92, p. 17, DOI: https://doi.org/10.1007/s12046-020-1304-9

 

 

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        Conference Papers

 

 

·          Moravec J. (2020) 7-Dimensional Optimization Task: PBO-Nature-Inspired Optimizer Versus 10-Years-Old Differential Evolution Based Optimizer 3rd Generation EPSDE. In: Silhavy R. (eds) Artificial Intelligence and Bioinspired Computational Methods. CSOC 2020. Advances in Intelligent Systems and Computing, vol 1225, pp. 11-25. Springer, Cham. https://doi.org/10.1007/978-3-030-51971-1_2

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·          Moravec J. (2020) Using Simple Genetic Algorithm for a Hand Contour Classification: An Experimental Study. In: Silhavy R. (eds) Artificial Intelligence and Bioinspired Computational Methods. CSOC 2020. Advances in Intelligent Systems and Computing, vol. 1225, pp. 93-109. Springer, Cham. https://doi.org/10.1007/978-3-030-51971-1_8

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·          Moravec J. (2020) A Hand Contour Classification Using Ensemble of Natural Features: A Large Comparative Study. In: Silhavy R. (eds) Artificial Intelligence and Bioinspired Computational Methods. CSOC 2020. Advances in Intelligent Systems and Computing, vol 1225, pp. 26-45. Springer, Cham. https://doi.org/10.1007/978-3-030-51971-1_3

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        Technical Reports

 

 

·          Moravec J., 2020. Biometrické identifikační systémy, výkresová dokumentace biometrického scanneru, Technická zpráva, p. 20.

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·          Moravec J., 2020. Teze k tématu disertační práce: Systémy biometrické identifikace lidské ruky, p. 30

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·         Moravec J., 2020. Písemná práce ke státní doktorské zkoušce, p. 36

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        Thesis

 

 

·          Moravec J., 2020. Nástroje a algoritmy pro identifikaci osob s využitím kontury lidské ruky, Disertační práce, UPCE FEI Pardubice.

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