This study introduces an effective solution for text-independent writer identification by generalising contour-hinge feature, which is called n -tuple direction feature. For extracting n -tuple direction feature, the authors first obtain all contours from connected components, then n + 1 points are considered on the contour with a certain distance apart, and next, the directions of the fragments connecting two successive points are computed. The n + 1 points move on the contour and the n -dimensional histogram of directions is computed. The proposed method is evaluated on large Farsi and English databases. A correct writer identification rate of 92.2% for English handwritings from 900 persons and 97.7% for Farsi handwritings from 600 persons are achieved. Comparison between the proposed method and other studies shows the promising performance and superiority of the proposed method.

中文翻译：

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作者识别 ñ轮廓的元组方向特征

这项研究通过概括轮廓铰链特征为文本无关的作者识别提供了一种有效的解决方案，这称为 ñ 元组方向功能。用于提取ñ 元组方向特征，作者首先从连接的组件中获取所有轮廓，然后 ñ在轮廓上以一定的距离考虑+1个点，然后，计算连接两个连续点的片段的方向。的ñ + 1点在轮廓上移动 ñ 计算方向的三维直方图。该方法在大型波斯语和英语数据库中得到了评估。正确的作者识别率为900人的英语手写体为92.2％，波斯语的600人手写体为97.7％。所提出的方法与其他研究的比较表明，所提出的方法具有令人鼓舞的性能和优越性。