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A writer is a person who uses written words in different writing styles and techniques to communicate ideas. Writers produce different forms of literary art and creative writing such as novels, short stories, books, poetry, travelogues, plays, screenplays, teleplays, songs, and essays as well as other reports and news articles that may be of interest to the general public. Writers' texts are published across a wide range of media. Skilled writers who are able to use language to express ideas well, often contribute significantly to the cultural content of a society. The term "writer" is also used elsewhere in the arts and music, such as songwriter or a screenwriter, but also a stand-alone "writer" typically refers to the creation of written language. Some writers work from an oral tradition. Writers can produce material across a number of genres, fictional or non-fictional. Other writers use multiple media such as graphics or illustration to enhance the communication of their ideas.

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A New Text-Independent GMM Writer Identification System Applied to Arabic Handwriting

Fouad Slimane

This paper proposes a system for text-independent writer identification based on Arabic handwriting using only 21 features. Gaussian Mixture Models (GMMs) are used as the core of the system. GMMs provide a powerful representation of the distribution of features extracted using a fixed-length sliding window from the text lines and words of a writer. For each writer a GMM is built and trained using words and text lines images of that writer. At the recognition phase, the system returns log-likelihood scores. The GMM model(s) with the highest score(s) is (are) selected depending if the score is computed in Top-1 or Top-n level. Experiments using only word and text line images from the freely available Arabic Handwritten Text Images Database written by Multiple Writers (AHTID/MW) demonstrate a good performance for the Top-1, Top-2, Top-5 and Top-10 results.

2014

A Handwritten French Dataset for Word Spotting - CFRAMUZ

Nikolaos Arvanitopoulos Darginis, Sabine Süsstrunk

We present a new and freely available dataset, CFRAMUZ, for segmentation-free word spotting research. The dataset consists of seven novels with a total number of 64 pages and 18000 words written in french by the Swiss writer C.F. Ramuz. The novels cover the writer’s whole period of life, therefore they show changes in the handwriting style. Together with the complete ground-truth of the dataset we provide an annotation tool. We provide evaluations of state-of-the-art word spotting approaches on this dataset. For completeness we also compare all the approaches on other commonly used datasets to demonstrate the new difficulties and challenges our new dataset introduces.

2017

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