Browsing by Subject "Chinese"

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Open Access
Classifying fonts and calligraphy styles using complex wavelet transform
(Springer-Verlag London Ltd, 2015) Bozkurt, A.; Duygulu P.; Cetin, A.E.
Recognizing fonts has become an important task in document analysis, due to the increasing number of available digital documents in different fonts and emphases. A generic font recognition system independent of language, script and content is desirable for processing various types of documents. At the same time, categorizing calligraphy styles in handwritten manuscripts is important for paleographic analysis, but has not been studied sufficiently in the literature. We address the font recognition problem as analysis and categorization of textures. We extract features using complex wavelet transform and use support vector machines for classification. Extensive experimental evaluations on different datasets in four languages and comparisons with state-of-the-art studies show that our proposed method achieves higher recognition accuracy while being computationally simpler. Furthermore, on a new dataset generated from Ottoman manuscripts, we show that the proposed method can also be used for categorizing Ottoman calligraphy with high accuracy. © 2015, Springer-Verlag London.
Open Access
Validation of the Chinese version of Community Assessment of Psychic Experiences (CAPE) in an adolescent general population
(Elsevier B.V., 2017) Mark, W.; Toulopoulou, T.
The Community Assessment of Psychic Experiences (CAPE) is a popular 42-item self-report assessment of psychosis proneness (PP) that has been widely-translated. However, there is as yet no validation of CAPE in non-Western languages. Here, we validated a Chinese translation of CAPE (“CAPE-C”) in a young Chinese community sample. Factor analyses were employed in a sample of 660 individuals (mean age = 18.63) to identify a culturally-sensitive factor structure for CAPE-C (Study 1). Since confirmatory factor analysis (CFA) suggested that CAPE-C did not follow the original factor structure, exploratory factor analysis and follow-up CFA were employed to establish an alternative structure, resulting in a 15-item “CAPE-C15” which retained a three-factor structure tapping positive, negative and depressive symptoms. To demonstrate the specificity of CAPE-C15 as a measure of PP, we conducted regression analyses to examine associations between CAPE-C15 dimensions and other measures of psychotic and depressive symptoms (Study 2). Results confirmed that CAPE-C15 dimensions showed specific associations with relevant symptom dimensions of other measures, but not with irrelevant ones. Finally, to aid interpretation of CAPE-C15 scores, Receiver Operating Characteristic analysis was conducted to establish a cut-off score that could indicate test-takers’ need for clinical attention (Study 3). We found that a cut-off score of 8.18 on CAPE-C15 positive and negative symptom frequency and distress scores distinguished individuals whose PP was within normal ranges from those at psychometric high-risk (sensitivity: 78.6%; specificity: 77.7%). CAPE-C15 will likely prove relevant to researchers and healthcare providers who serve Chinese-speaking adolescents and young adults.