Optical structure recognition software to recover chemical information: OSRA, an open source solution.

Optical structure recognition software to recover chemical information: OSRA, an open source solution.
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DOI:
10.1021/ci800067r
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发表时间:
2009-03
影响因子:
5.6
通讯作者:
Nicklaus, Marc C.
Nicklaus, Marc C.
中科院分区:
化学2区
文献类型:
--
作者:
Filippov, Igor V.;Nicklaus, Marc C.

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直到最近,大多数涉及化学的科学和专利文献都用系统名称或凯库勒结构的图形来描述分子结构。后一种方法在自动化处理中造成固有的问题,当文档的数量在数十万甚至数百万的范围内时,所述自动化处理是需要的,因为这种图形表示不能由计算机直接解释。为了恢复这种结构信息,否则几乎丢失,我们已经建立了一个光学结构识别应用程序的基础上,在开源工具- OSRA实现的图像处理的现代进步。OSRA可以读取GIF、JPEG、PNG、TIFF、PDF和PS等90多种图形格式的文档,自动识别和提取此类文档中代表化学结构的图形信息,并生成遇到的分子结构图像的SMILES或SD表示。
Until recently most scientific and patent documents dealing with chemistry have described molecular structures either with systematic names or with graphical images of Kekulé structures. The latter method poses inherent problems in the automated processing that is needed when the number of documents ranges in the hundreds of thousands or even millions since such graphical representations cannot be directly interpreted by a computer. To recover this structural information, which is otherwise all but lost, we have built an optical structure recognition application based on modern advances in image processing implemented in open source tools — OSRA. OSRA can read documents in over 90 graphical formats including GIF, JPEG, PNG, TIFF, PDF, and PS, automatically recognizes and extracts the graphical information representing chemical structures in such documents, and generates the SMILES or SD representation of the encountered molecular structure images.
DOI: 10.1021/ci990052b
发表时间: 1999-11-01
期刊: JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES
影响因子: --
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