Tag Archives: identification

1499-1518 Nurholis, S.H. Hidayat, K.H. Mutaqin, S. Widodo and Widodo
Morphological, molecular, and pathogenic characterization of Colletotrichum gloeosporioides sensu stricto associated with imported citrus fruits
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Morphological, molecular, and pathogenic characterization of Colletotrichum gloeosporioides sensu stricto associated with imported citrus fruits

Nurholis¹, S.H. Hidayat¹, K.H. Mutaqin¹, S. Widodo² and Widodo¹*

¹IPB University, Faculty of Agriculture, Department of Plant Protection, Jl. Kamper Babakan Dramaga, Kabupaten Bogor, ID16680 Jawa Barat, Indonesia
²IPB University, Faculty of Agricultural Technology, Department of Agricultural Engineering and Biosystem, Jl. Kamper Babakan Dramaga, Kabupaten Bogor, ID16680 Jawa Barat, Indonesia
*Correspondence: widodo@apps.ipb.ac.id

Abstract:

Colletotrichum gloeosporioides is a fungal pathogen that causes anthracnose disease in citrus fruits. C. gloeosporioides has the potential to be carried by imported citrus fruits. The aim of this study was to detect, isolate, identify, and test the pathogenicity of C. gloeosporioides associated with imported citrus fruits. The detection method was carried out by freezing imported citrus fruits at -20 °C for 15 hours. C. gloeosporioides was identified morphologically and molecularly. The morphological identification method was done by observing mycelial colonies and conidia. The molecular identification method was done by the Polymerase Chain Reaction technique using 3 locus of ITS, GAPDH, and TUB2. The pathogenicity was tested by attaching 1 culture circle of C. gloeosporioides to the surface of the citrus fruit and injecting 100 µl of conidia suspension at a density of 105 conidia mL-1 into the inside of the citrus fruit. The main results showed that C. gloeosporioides was successfully detected at 4 days after incubation by the emergence of mycelia on the surface of citrus fruits. Morphological and molecular identification proved that the species of fungus was C. gloeosporioides sensu stricto which was a pathogenic fungus on imported and local citrus fruits with a disease incidence value of 100%, and a disease severity value of 97.78% and 98.89%, respectively.

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1025-1031 V. Hartová, J. Hart and P. Prikner
Influence of face lighting on the reliability of biometric facial readers
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Influence of face lighting on the reliability of biometric facial readers

V. Hartová¹*, J. Hart² and P. Prikner¹

¹Czech University of Life Sciences Prague, Faculty of Engineering, Department of Vehicles and Ground Transport, Kamýcká 129, CZ165 00 Prague, Czech Republic
²Czech University of Life Sciences Prague, Faculty of Engineering, Department of Technological Equipment of Buildings, Kamýcká 129, CZ165 00 Prague, Czech Republic
*Correspondence: nverca@seznam.cz

Abstract:

At present, there is an increasing need to protect workplace entry and specially guarded premises. In addition to standard access systems on a chip cards are getting to the fore of biometric identification systems such as readers for fingerprint, biometric scans faces and others. Biometric readers face still improve, but still have a lot of blind spots, thanks to which their reliability and user-friendliness decreases. One such problem is the light intensity in the room where the reading device is located. The varying intensity of the light in the room causes a different illumination of the person’s face. It emphasizes or suppresses the main points of the face that needed for user authorization, and the whole identification process is prolonged and difficult. The reliability value is significantly different from the value given by the manufacturers. It is very important to highlight on this problem and begin to address it by altering the current production engineering.

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999–1005 V. Hartová, and J. Hart
Comparison of reliability of false rejection rate by monocriterial and multi-criteria of biometric identification systems
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Comparison of reliability of false rejection rate by monocriterial and multi-criteria of biometric identification systems

V. Hartová¹,* and J. Hart²

¹ Czech University of Life Sciences Prague (CULS), Faculty of Engineering, Department of Vehicles and Ground Transport, Kamýcká 129, CZ165 21 Prague, Czech Republic
² Czech University of Life Sciences Prague (CULS), Faculty of Engineering, Department of Technological Equipment of Buildings, Kamýcká 129, CZ165 21 Prague,
Czech Republic
*Correspondence: nverca@seznam.cz

Abstract:

Biometric user identification is a highly topical theme these days. The most widespread areas are identification of a person on the basis of fingerprints and identification on the basis of facial features. Testing was performed on the 4 biometric systems. Systems using fingerprint were LA 2000M and iEvo ULTIMATE, and systems disposing even the scan faces were D-Station, IFace 800. Measurements showed that the higher reliability have biometric identification systems which identify the person on the basis of one parameter. From the results it is also seen that sabotage of biometric identification devices that identifies on the the basis of two or more parameters is much simpler than those that identify only using fingerprint or scan of face.

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889-894 V. Nídlová and J. Hart
The impact of light conditions on identifying facial features
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The impact of light conditions on identifying facial features

V. Nídlová* and J. Hart

Department of Technological Equipment of Buildings, Faculty of Engineering, Czech University of Life Sciences Prague, Kamýcká 129, 16521 Prague, Czech republic; *Correspondence: nidlova@tf.czu.cz

Abstract:

Biometry in the field of identifying people is a highly topical theme these days. The most widespread area is identification of a person on the basis of fingerprints, nevertheless scanners of the bloodstream, iris and retina in particular are undergoing development, as well as identification on the basis of facial features. In the case of scanners which distinguish people according to their face, user problems are appearing. One of these problems is the surrounding environment of the scanner device, in particular light conditions. According to tests, it is necessary to conduct identification of people under laboratory conditions, which is not acceptable from the user perspective. It is essential to consider this problem and to innovate and extend the system for identification on the basis of facial features. It is necessary for the system to react, if possible, with a minimal error rate and within the fastest response time. Through the help of testing light conditions, an improvement was achieved in the capability of identifying facial features, and at the same time a further modification was proposed to perfect the existing technology.

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