Detection and Segmentation of Antialiased Text in Screen Images

被引：5

作者：

Gleichman, Sivan ^{[1
]}

Ophir, Boaz ^{[2
]}

Geva, Amir ^{[1
]}

Marder, Mattias ^{[1
]}

Barkan, Ella ^{[1
]}

Packer, Eli ^{[1
]}

机构：

[1] IBM Res, Haifa, Israel

[2] Technion Israel Inst Technol, Dept Comp Sci, Jerusalem, Israel

来源：

11TH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR 2011) | 2011年

关键词：

antialiasing; character segmentation; text detection;

D O I：

10.1109/ICDAR.2011.92

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Various software applications deal with analyzing the textual content of screen captures. Interpreting these images as text poses several challenges, relative to images traditionally handled by optical character recognition (OCR) engines. One such challenge is caused by text antialiasing, a technique which blurs the edges of characters, to reduce jagged appearance. This blurring changes the character images according to context, and can sometimes fuse them together. In this paper, we offer a low-cost method that can be used as a preprocessing stage, prior to OCR. Our method locates antialiased text in a screen image and segments it into separate character images. Our proposed algorithm significantly improves OCR results, particularly in images with colored text of small font size, such as in graphic user interface (GUI) screens.

引用

页码：424 / 428

页数：5

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