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31.
Efthimios Badekas Nikos Nikolaou Nikos Papamarkos 《International journal of imaging systems and technology》2006,16(6):262-274
This article presents a new method for the binarization of color document images. Initially, the colors of the document image are reduced to a small number using a new color reduction technique. Specifically, this technique estimates the dominant colors and then assigns the original image colors to them in order that the background and text components to become uniform. Each dominant color defines a color plane in which the connected components (CCs) are extracted. Next, in each color plane a CC filtering procedure is applied which is followed by a grouping procedure. At the end of this stage, blocks of CCs are constructed which are next redefined by obtaining the direction of connection (DOC) property for each CC. Using the DOC property, the blocks of CCs are classified as text or nontext. The identified text blocks are binarized properly using suitable binarization techniques, considering the rest of the pixels as background. The final result is a binary image which contains always black characters in white background independently of the original colors of each text block. The proposed document binarization approach can also be used for binarization of noisy color (or gray‐scale) document images. Several experiments that confirm the effectiveness of the proposed technique are presented. © 2007 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 16, 262–274, 2006 相似文献
32.
G. Shobha M. Krishna S.C. Sharma 《软件学报》2006,17(8):1824-1836
1 Introduction Reliability in personal authentication is key to the security in any transactional database. Many physiological characteristics of humans i.e., biometrics, are typically time invariant, easy to acquire, and unique for every individual. Biom… 相似文献
33.
提出了一种直接基于指纹结构特征的二值化算法,在去除指纹图像中无效块后,利用指纹纹理表现出的规律来提取脊线谷线信息从而去除噪声。实验结果表明基于结构特征的二值化算法可以克服较多的噪声干扰,大大减少了指纹图像中的伪脊线结构,得到精确的二值图像。 相似文献
34.
胡超群 《计算机应用与软件》1998,15(1):29-32,36
本文提出了一种新的动态二值化算法,以实现从灰度点阵图象中提取其对象。通过分析象素和其所在的局部区和灰度值等数字特征,可以判断局部区的内是否存在对象,阈值和判断条件对应。 相似文献
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An adaptive local binarization method for document images based on a novel thresholding method and dynamic windows 总被引:1,自引:0,他引:1
Bilal Bataineh Siti Norul Huda Sheikh Abdullah Khairuddin Omar 《Pattern recognition letters》2011,32(14):1805-1813
Binary image representation is essential format for document analysis. In general, different available binarization techniques are implemented for different types of binarization problems. The majority of binarization techniques are complex and are compounded from filters and existing operations. However, the few simple thresholding methods available cannot be applied to many binarization problems. In this paper, we propose a local binarization method based on a simple, novel thresholding method with dynamic and flexible windows. The proposed method is tested on selected samples called the DIBCO 2009 benchmark dataset using specialized evaluation techniques for binarization processes. To evaluate the performance of our proposed method, we compared it with the Niblack, Sauvola and NICK methods. The results of the experiments show that the proposed method adapts well to all types of binarization challenges, can deal with higher numbers of binarization problems and boosts the overall performance of the binarization. 相似文献
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Yu-Ting Pai Author VitaeAuthor Vitae Shanq-Jang Ruan Author Vitae 《Pattern recognition》2010,43(9):3177-3187
Document image binarization involves converting gray level images into binary images, which is a feature that has significantly impacted many portable devices in recent years, including PDAs and mobile camera phones. Given the limited memory space and the computational power of portable devices, reducing the computational complexity of an embedded system is of priority concern. This work presents an efficient document image binarization algorithm with low computational complexity and high performance. Integrating the advantages of global and local methods allows the proposed algorithm to divide the document image into several regions. A threshold surface is then constructed based on the diversity and the intensity of each region to derive the binary image. Experimental results demonstrate the effectiveness of the proposed method in providing a promising binarization outcome and low computational cost. 相似文献
40.
本文针对车牌字符识别系统在工程应用中存在识别准确率不高、效率低的问题,从工程实践的角度描述了一种新的基于BP神经网络的识别系统在车牌字符识别中的应用。详细介绍了车牌字符识别中的样本集和测试集的组织、图像二值化、归一化、图像去噪、神经网络构建和训练。实践结果表明,本系统适用于自然场景中的车牌自动识别问题,并且具有较强的适应性。 相似文献