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Robust indexing and retrieval of electronic ink

机译:强大的电子墨水索引和检索

摘要

A unique system and method that facilitates indexing and retrieving electronic ink objects with improved efficiency and accuracy is provided. Handwritten words or characters are mapped to a low dimension through a process of segmentation, stroke classification using a neural network, and projection along directions found using OPCA, for example. The employment of OPCA makes these low dimensional representations robust to handwriting variations or noise. Each handwritten word or set of characters is stored along with neighborhood hyperrectangle that represents word variations. Redundant bit vectors are used to index the hyperrectangles for efficient storage and retrieval. Ink-based queries can be submitted in order to retrieve at least one ink object. To do so, the ink query is processed to determine its query point which is represented by a (query) hyperrectangle. A data store can be searched for any hyperrectangles that match the query hyperrectangle.
机译:提供了一种独特的系统和方法,该系统和方法有助于以改进的效率和准确性来索引和检索电子墨水对象。例如,通过分段,使用神经网络进行笔划分类以及沿使用OPCA找到的方向进行投影的过程,将手写的单词或字符映射到低维度。 OPCA的使用使这些低维表示形式对于手写变化或噪音很健壮。每个手写单词或字符集都与代表单词变体的邻域超矩形一起存储。冗余位向量用于索引超矩形,以进行有效的存储和检索。可以提交基于墨水的查询,以便检索至少一个墨水对象。为此,处理墨水查询以确定其查询点,该查询点由(查询)超矩形表示。可以在数据存储中搜索与查询超矩形匹配的任何超矩形。

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