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EDGE-BASED TEXT LOCALIZATION AND SEGMENTATION ALGORITHMS FOR AUTOMATIC SLAB INFORMATION RECOGNITION

机译:基于边界的文本局部化和分段算法,用于板坯信息的自动识别

摘要

PURPOSE: An edge-based text localization algorithm and a segmentation algorithm for automatic slab information recognition are provided to recognize slab management numbers rapidly by performing character string extraction and character division in high success rate based on border images. CONSTITUTION: A border image is extracted from a color image(S110). Based on the extracted border image, a candidate string is extracted (S120). In the extracted candidate string, up and down locations of the character string are decided through width to height ratio of the character string and a character point(S130). Right and left locations of the character string is decided through the slope and thickness of characters(S140). In the image, the character string is divided into the characters(S150).
机译:目的:提供一种基于边缘的文本本地化算法和一种用于自动平板信息识别的分割算法,以通过基于边界图像以高成功率执行字符串提取和字符划分,快速识别平板管理编号。构成:从彩色图像中提取边框图像(S110)。基于提取的边界图像,提取候选字符串(S120)。在提取的候选字符串中,通过字符串和字符点的宽高比来确定字符串的上下位置(S130)。通过字符的斜率和粗细确定字符串的左右位置(S140)。在图像中,字符串被分成字符(S150)。

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