. . . . "521471" . . "This paper deals with processing of signals produced by a special biometric pen. Numbers written by hand are recognized by means of feature extraction methods. This work includes design appropriate feature description of signals and selection of classification methods. Testing of designed methods is done in C language."@en . "4"^^ . "Feature extraction from the biometric signal produced by a handwriting pen" . . . "Z\u00E1pado\u010Desk\u00E1 univerzita v Plzni" . "C\u00EDlem pr\u00E1ce je klasifikace rukou psan\u00FDch \u010D\u00EDslic s vyu\u017Eit\u00EDm p\u0159\u00EDznakov\u00FDch metod rozpozn\u00E1v\u00E1n\u00ED. Pou\u017Eit\u00E1 vstupn\u00ED data byla z\u00EDsk\u00E1na ze speci\u00E1ln\u00EDho biometrick\u00E9ho pera vybaven\u00E9ho senzory zaznamen\u00E1vaj\u00EDc\u00EDmi tlak na pero a zrychlen\u00ED pohybu hrotu pera v horizont\u00E1ln\u00EDm a vertik\u00E1ln\u00EDm sm\u011Bru. Pr\u00E1ce obsahuje volbu vhodn\u00E9ho p\u0159\u00EDznakov\u00E9ho popisu vlastnost\u00ED biometrick\u00FDch sign\u00E1l\u016F a n\u00E1vrh klasifik\u00E1toru. Ov\u011B\u0159en\u00ED funk\u010Dnosti bylo realizov\u00E1no pomoc\u00ED programovac\u00EDho jazyka C." . . . . "97-100" . "Petr\u00E1nkov\u00E1, Zuzana" . . "Z\u00E1mek Ne\u010Dtiny" . . "RIV/49777513:23220/05:00000450!RIV07-MSM-23220___" . "V Plzni" . "Feature extraction from the biometric signal produced by a handwriting pen" . "1"^^ . "2005-01-01+01:00"^^ . "Feature extraction from the biometric signal produced by a handwriting pen"@en . "Biometric pen; handwriting pen; classification; feature extraction; feature vector"@en . "1"^^ . "S" . "[5F4ECC671579]" . . "RIV/49777513:23220/05:00000450" . "80-7043-374-4" . . "Feature extraction from the biometric signal produced by a handwriting pen"@en . "Feature extraction from the biometric signal produced by a handwriting pen"@cs . "23220" . . "Elektrotechnika a informatika 2005. \u010C\u00E1st 2., Elektronika" . . "C\u00EDlem pr\u00E1ce je klasifikace rukou psan\u00FDch \u010D\u00EDslic s vyu\u017Eit\u00EDm p\u0159\u00EDznakov\u00FDch metod rozpozn\u00E1v\u00E1n\u00ED. Pou\u017Eit\u00E1 vstupn\u00ED data byla z\u00EDsk\u00E1na ze speci\u00E1ln\u00EDho biometrick\u00E9ho pera vybaven\u00E9ho senzory zaznamen\u00E1vaj\u00EDc\u00EDmi tlak na pero a zrychlen\u00ED pohybu hrotu pera v horizont\u00E1ln\u00EDm a vertik\u00E1ln\u00EDm sm\u011Bru. Pr\u00E1ce obsahuje volbu vhodn\u00E9ho p\u0159\u00EDznakov\u00E9ho popisu vlastnost\u00ED biometrick\u00FDch sign\u00E1l\u016F a n\u00E1vrh klasifik\u00E1toru. Ov\u011B\u0159en\u00ED funk\u010Dnosti bylo realizov\u00E1no pomoc\u00ED programovac\u00EDho jazyka C."@cs . "Feature extraction from the biometric signal produced by a handwriting pen"@cs . .