基于Radon变换的文本图像倾斜校正

归纳现有的多种倾斜字符校正方法,提出一种基于Radon变换用于一般字符校正的方法。该方法对文本图像做简单的数学形态学处理,利用Radon变换求出文本倾斜的角度。实验结果表明：与传统方法相比,本算法减少了计算量,提高了校正效率,且具有较强的适用性和鲁棒性。     

基于stroke滤波器的字符分割算法

为了有效地解决复杂背景中字符分割的问题,提出一种基于stroke滤波器进行文本分割的新方法．进行stroke滤波器的合理设计,应用所设计的stroke滤波器来判别文本的彩色极性,得到初次分割的二值图,进行基于区域生长的文字分割．应用OCR模块提高文本分割的整体性能．仿真实验表明,所提算法有效、可行．     

OCR中一种基于最小一乘法的连通域去噪方法

提出了一种在OCR过程中利用最小一乘法分析连通域大小从而实现去噪功能的方法.在图像中存在少量颜色与提取信息相似且大小具有明显差异的噪声的前提下,采用最小一乘法取代传统的最小二乘法对所有连通域的大小进行分析,从而获得需要的连通域阈值,实现去噪功能.数据结果显示,在规定前提下该方法比经典的最小二乘法所确定的范围更为准确;实验结果显示,该方法能够达到去噪效果.     

透射成像纸币冠字号定位方法

纸币成像方式分为反射和透射成像两种方式。反射方式成像的纸币图像清晰、背景单一,但采集任意方向进入点验设备的冠字号图像需两个图像传感器,占用仓室空间大;相同条件下,透射方式仅需一个图像传感器,具有空间上的优势,但透射方式的图像背景复杂、两面图像重叠、易光照不均。针对这些问题,提出一种冠字号定位的新算法。检测冠字号的字符间间隙特征点;在特征点检测基础上,进行水平投影,根据人民币固有属性计算冠字号区域的准确水平位置;在水平定位基础上,通过定位欧姆龙环间接计算出冠字号区域的准确垂直位置;利用连通域标记算法定位出单个字符。对2000张正常流通05版人民币进行测试,定位正确率为100％。     

KHATT: An open Arabic offline handwritten text database

A comprehensive Arabic handwritten text database is an essential resource for Arabic handwritten text recognition research. This is especially true due to the lack of such database for Arabic handwritten text. In this paper, we report our comprehensive Arabic offline Handwritten Text database (KHATT) consisting of 1000 handwritten forms written by 1000 distinct writers from different countries. The forms were scanned at 200, 300, and 600 dpi resolutions. The database contains 2000 randomly selected paragraphs from 46 sources, 2000 minimal text paragraph covering all the shapes of Arabic characters, and optionally written paragraphs on open subjects. The 2000 random text paragraphs consist of 9327 lines. The database forms were randomly divided into 70%, 15%, and 15% sets for training, testing, and verification, respectively. This enables researchers to use the database and compare their results. A formal verification procedure is implemented to align the handwritten text with its ground truth at the form, paragraph and line levels. The verified ground truth database contains meta-data describing the written text at the page, paragraph, and line levels in text and XML formats. Tools to extract paragraphs from pages and segment paragraphs into lines are developed. In addition we are presenting our experimental results on the database using two classifiers, viz. Hidden Markov Models (HMM) and our novel syntactic classifier.     

表格自动录入系统的研究

本文论述了一个表格自动录入系统，它包括表格分析与理解和字符识别，文中提出了表格分析与理解的一个层次模型和算法，它用数学形态学检测表格线段，然后形成表格线段描述，再从表格线段产生表格线，从表格线产生矩形块集合，最后进行表格理解和结果生成它具有抗部分断线，虚线和倾斜的能力，不受粘连和噪音点的影响，文中还提出一种基于机器学习的字符识别方法，通过对大量样本的学习来产生分类的规则，并介绍了一个基于此立法的手     

大冶铁矿无底柱分段崩落法矿量管理与数据自动输入合成系统

本文简要介绍了作者应用数据库和OCR技术研制一个可处理大量开采信息的数据管理与自动输入的合成系统的概况，包括系统的设计、组成、功能和使用价值，并就有关技术问题进行了必要的讨论     

An automatic measurement device for the evaluation of the print quality of printed characters

When using OCR equipment (OCR = Optical Character Recognition) it is necessary to define shape and print quality of the characters in national and international standards.The paper gives a review of the standardization of the character fonts OCR A and OCR B for optical character recognition. All relevant parameters are discussed which define the print quality of printed characters. A critical review of two measurement methods used so far for the evaluation of print quality parameters is given. The improvement of the measurement methods led to the development of an automatic measurement device which is described in detail.The automatic measurement device consists of a high precision scanning device to digitize the printed characters and a computer program for the evaluation of the data. The mechanical construction and the properties of the scanning device are explained. The computer program consists of two main parts for preprocessing of the scanned data and for the evaluation of the different print parameters.Test results are reported and possible applications of the measurement device are discussed.     

Estimation of skew angle in text-image analysis bySLIDE: Subspace-based line detection

A new signal processing method is developed for estimating the skew angle in text document images. Detection of the skew angle is an important step in text processing tasks such as optical character recognition (OCR) and computerized filing. Based on a recently introduced multiline-fitting algorithm, the proposed method reformulates the skew detection problem into a special parameter-estimation framework such that a signal structure similar to the one in the field of sensor array processing is obtained. In this framework, straight lines in an image are modeled as wavefronts of propagating planar waves. Certain measurements are defined in this virtual propagation environment such that the large amount of coherency that exists between the locations of the pixels on parallel lines is exploited to enhance a subspace in the space spanned by the measurements. The well-studied techniques of sensor array processing (e.g., the ESPRIT algorithm) are then exploited to produce a closed form and high-resolution estimate for the skew angle.