文档图像的分割和文本提取:综述

Gururaj Mukarambi, Hema Gaikwadl, B. V. Dhandra
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引用次数: 1

摘要

对复杂文档图像进行分割和文本提取,有助于对所需信息进行分析、存储、检索和自动索引。在本文中,我们考虑了23种现有的复杂文档图像分割和文本提取方法。通过对现有方法的回顾,我们发现连通分量法[1]、[2]、[5]、[8]、[10]、[13]更适合于从文档中提取文本和非文本,LSTM &RNN也发现了从复杂文档中提取文本的潜在方法[15]。
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Segmentation and Text extraction from Document Images: Survey
Segmentation and text extraction from complex document image helps in analyzing, storing, retrieving and auto indexing of required information. In this paper, we considered 23 existing methods of segmentation and text extraction for complex document images. After review of the existing methods, we found that connected component method [1],[2],[5],[8],[10],[13] are more suitable for segmentation of text and non-text from document and also LSTM &RNN found that potential methods for extraction of text from complex document[15].
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