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Amal Durou Ibrahim Aref Somaya Al-Maadeed Ahmed Bouridane Elhadj Benkhelifa 《Information processing & management》2019,56(2):354-366
Handwriter identification aims to simplify the task of forensic experts by providing them with semi-automated tools in order to enable them to narrow down the search to determine the final identification of an unknown handwritten sample. An identification algorithm aims to produce a list of predicted writers of the unknown handwritten sample ranked in terms of confidence measure metrics for use by the forensic expert will make the final decision.Most existing handwriter identification systems use either statistical or model-based approaches. To further improve the performances this paper proposes to deploy a combination of both approaches using Oriented Basic Image features and the concept of graphemes codebook. To reduce the resulting high dimensionality of the feature vector a Kernel Principal Component Analysis has been used. To gauge the effectiveness of the proposed method a performance analysis, using IAM dataset for English handwriting and ICFHR 2012 dataset for Arabic handwriting, has been carried out. The results obtained achieved an accuracy of 96% thus demonstrating its superiority when compared against similar techniques. 相似文献
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This study examined whether the graphemic structure of words modulates the timing of handwriting production during the acquisition
of writing skills. This is particularly important during the acquisition period because phonological recoding skills are determinant
in the elaboration of orthographic representations. First graders wrote seven-letter bi-syllabic words on a digitiser. We
measured movement duration and fluency and evaluated reading performance. In Experiment 1, the words varied in number of graphemes
and grapheme structure. In Experiment 2, the words varied in graphemic structure but the number of graphemes was held constant.
The results revealed that the children wrote the first syllable of the words grapheme-by-grapheme, irrespective of the number
of letters that composed them. They prepared the movement to produce the first grapheme before starting to write. The following
graphemes were processed on-line. They then prepared the movement to write the second syllable. The progressive decrease of
duration and dysfluency values towards the end of the word indicates that the children prepared the entire syllable in advance.
Movement time and dysfluency measures presented very similar patterns in the two experiments. Furthermore, there was a significant
correlation between reading performance and handwriting measures. The grapheme and syllable structure of the words therefore
modulates the timing of motor production during handwriting acquisition. Once the children have learned the phonological recoding
rules, they apply them systematically, irrespectively of the size of the graphemes they have to write. 相似文献
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