Titlebook: Document Analysis and Recognition – ICDAR 2021; 16th International C Josep Lladós,Daniel Lopresti,Seiichi Uchida Conference proceedings 202

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978-3-030-86336-4Springer Nature Switzerland AG 2021

Exposition

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Fast Text vs. Non-text Classification of Imagestion is based on a block-level approach. FTC achieves 94.2% F-measure, 0.97 area under the ROC curve, and 74.8?ms and 8.6?ms inference times for CPU and GPU, respectively. A dataset of 1M images, automatically annotated with masks indicating text presence, is introduced and made public at ..

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FEDS - Filtered Edit Distance Surrogatevarious challenging scene text datasets such as IIIT-5K, SVT, ICDAR, SVTP, and CUTE. The proposed method provides an average improvement of . on total edit distance and an error reduction of . on accuracy.

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VML-HP: Hebrew Paleography Datasetve evaluated several deep learning classifiers on both of the test sets. The results show that convolutional networks can classify Hebrew script sub-types on a typical test set with accuracy much higher than the accuracy on the blind test.

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