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- W2626113972 abstract "In this paper, a scheme to identify the type of script of printed documents for multi-script OCR system is presented. This scheme works on block or paragraph of the given printed document. The proposed scheme uses Wavelet features and MPEG-7 Edge Histogram Descriptor (EHD) feature applied on the wavelet coefficients at level 1 to identify the type of script. To reduce the dimension of the feature vector, Principal Component Analysis (PCA) is utilized. With only 70 significant Eigen values in PCA space, the recognition results are encouraging with nearest neighbor classifier. Therefore, a simple yet efficient scheme with fast recognition with very small feature vector is presented. The proposed scheme is tested for 12 different Indian scripts. This scheme shows enough robustness against various distortions present in document images such as underlines, strike-through, encirclement, spots, random marks, evaluation marks etc. which makes it unique when compared with other schemes." @default.
- W2626113972 created "2017-06-23" @default.
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- W2626113972 date "2016-12-01" @default.
- W2626113972 modified "2023-09-27" @default.
- W2626113972 title "Robust script identification using Wavelet and EHD features in PCA space" @default.
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- W2626113972 doi "https://doi.org/10.1109/icraie.2016.7939585" @default.
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