Address block location on envelopes using Gabor filters: supervised method
Address block location on envelopes using Gabor filters: supervised method
复制标题
使用 Gabor 滤波器解决信封上的块位置：监督方法
DOI：
10.1109/icpr.1992.201769
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发表时间：
1992
期刊：
影响因子：
--
通讯作者：
Sushil K. Bhattacharjee
中科院分区：
文献类型：
--
作者：
Anil K. Jain;Sushil K. Bhattacharjee
作者实现了一种基于纹理的监督分割方法来识别信封图像中潜在的目的地址块。纹理特征通过使用一组偶数对称的Gabor滤波器来计算。利用四种纹理特征，采用单层神经网络分类器将像素分为文本类和非文本类。作者还提出了一个简单的启发式算法，可以从确定的多个候选地址中选择正确的目的地址块。该方法在几张信封图像上运行良好。
The authors have implemented a texture-based supervised segmentation method to identify potential destination address blocks in envelope images. Texture features are computed by using a set of even symmetric Gabor filters. A one-layer neural network classifier is used to classify pixels into text and non-text categories using four texture features. The authors also present a simple heuristic to select the correct destination address block from among several candidates identified. The method works well on several envelope images.<<ETX>>