Systems and methods for creating multi-layered optical character recognition (OCR) documents

    公开(公告)号:US10049097B1

    公开(公告)日:2018-08-14

    申请号:US15417272

    申请日:2017-01-27

    Abstract: The present disclosure discloses methods and systems for creating a multi-layered Optical Character Recognition (OCR) document, the multi-layered OCR document facilitates selection of the desired text from the multi-layered OCR document. The method includes receiving a scanned image corresponding to a document, the document includes text information. A binary image is generated from the scanned image. Then, a morphological dilation operation is performed to create one or more text groups, using a horizontal structuring element and a vertical structuring element. Thereafter, OCR operation is applied on each text group to generate a corresponding OCR layer. The one or more OCR layers are then combined while creating a multi-layered OCR document. Finally, the combined OCR layers are superimposed as invisible text layers over the scanned image to create the multi-layered OCR document.

    System for automated text and halftone segmentation

    公开(公告)号:US09842281B2

    公开(公告)日:2017-12-12

    申请号:US14296553

    申请日:2014-06-05

    CPC classification number: G06K9/6267 G06K9/00456 G06K9/4638

    Abstract: A method and system for segmenting text from non-text portions of a digital image using the size, solidity, and run length characteristics of connected components within the image data. For a connected component comprising a rectangular group of pixels enclosing a set of connected pixels having the same binary state, the size characteristic may be based on a ratio of height to width of the connected component and the total number of pixels within the connected component, the solidity characteristic may be based on a ratio of pixels within the connected component to a total number of pixels within a convex hull of the set of connected pixels, and the run length characteristic may be based on a number of transitions within the connected component.

    Methods and systems for image compression
    76.
    发明授权
    Methods and systems for image compression 有权
    图像压缩的方法和系统

    公开(公告)号:US09596380B1

    公开(公告)日:2017-03-14

    申请号:US14886172

    申请日:2015-10-19

    CPC classification number: H04N1/413 H04N1/00095 H04N1/41 H04N2201/0094

    Abstract: According to embodiments illustrated herein there is provided a method of image compression. The method includes generating a modified image based on a compression of an image. The method further includes generating a first residual layer and a second residual layer based on a comparison of the modified image and the image. The method further includes filtering a set of pixels from the first residual layer and the second residual layer. The method further includes compressing the filtered first residual layer and the filtered second residual layer to generate a compressed first residual layer and a compressed second residual layer. Additionally, the method includes generating a second compressed image based on the modified image, the compressed first residual image and the compressed second residual image.

    Abstract translation: 根据本文所示的实施例,提供了一种图像压缩方法。 该方法包括基于图像的压缩生成修改的图像。 该方法还包括基于修改图像和图像的比较来生成第一残留层和第二残留层。 该方法还包括从第一残留层和第二残留层过滤一组像素。 该方法还包括压缩经滤波的第一残留层和经滤波的第二残留层以产生压缩的第一残余层和压缩的第二残留层。 此外,该方法包括基于修正图像,压缩的第一残差图像和压缩的第二残差图像生成第二压缩图像。

    INVERSE HALFTONING USING INVERSE PROJECTION OF PREDICTED ERRORS FOR MULTI-BIT IMAGES
    78.
    发明申请
    INVERSE HALFTONING USING INVERSE PROJECTION OF PREDICTED ERRORS FOR MULTI-BIT IMAGES 有权
    使用反向投影多个图像的预测误差进行逆变换

    公开(公告)号:US20160065786A1

    公开(公告)日:2016-03-03

    申请号:US14469944

    申请日:2014-08-27

    CPC classification number: H04N1/4052 H04N1/40075 H04N2201/0094

    Abstract: In systems and methods, an original image was previously converted to a lower bit count per pixel. The resulting image included pixel error based on the lower bit count per pixel. The conversion used an error weighting matrix (which diffuses the pixel error of each pixel to adjacent pixels). Methods and systems produce an output image from the lower bit count per pixel image using the error weighting matrix to determine, for each pixel, the amount of error added because of the adjacent pixels during the conversion process. Then, such methods and systems remove, from each pixel, the amount of error that was previously added based on the adjacent pixels. After removing the amount of error added based on the adjacent pixels from all pixels in the input image, an output image is reconstructed using a filter, such as a low pass filter.

    Abstract translation: 在系统和方法中,原始图像先前被转换为每像素的较低位数。 所得到的图像包括基于每像素的较低位计数的像素误差。 转换使用误差加权矩阵(它将每个像素的像素误差扩散到相邻像素)。 方法和系统使用误差加权矩阵从每像素图像的较低位计数产生输出图像,以为每个像素确定在转换过程期间由于相邻像素而添加的误差量。 然后,这些方法和系统从每个像素中移除先前根据相邻像素添加的错误量。 在从输入图像中的所有像素中除去基于相邻像素的误差量之后,使用诸如低通滤波器的滤波器重建输出图像。

    Methods and systems for image processing
    79.
    发明授权
    Methods and systems for image processing 有权
    图像处理方法和系统

    公开(公告)号:US09147262B1

    公开(公告)日:2015-09-29

    申请号:US14467355

    申请日:2014-08-25

    Abstract: The disclosed embodiments illustrate methods and systems for image processing. The method includes dividing a portion of an image into a set of blocks, each block of which is divided into a set of sub-blocks. Thereafter, a measurable block is identified from the set of blocks based on a measurability criteria that comprises determining an average pixel value for each of the sub-blocks based on one or more pixels encompassed by respective sub-block. Further, a maximum average pixel value, a minimum average pixel value, and a range of average pixel values are determined among the set of sub-blocks. The measurability criteria further includes comparing the maximum average pixel value, the minimum average pixel value, and the range of average pixel values with respective pre-determined thresholds. The method further includes estimating a half-tone frequency of the portion based on a processing of the identified measurable block.

    Abstract translation: 所公开的实施例示出了用于图像处理的方法和系统。 该方法包括将图像的一部分划分成一组块,每个块的每个块被划分成一组子块。 此后,基于可测量标准,从该组块识别可测量块,其包括基于由相应子块包含的一个或多个像素来确定每个子块的平均像素值。 此外,在子块组中确定最大平均像素值,最小平均像素值和平均像素值的范围。 可测量性标准还包括将最大平均像素值,最小平均像素值和平均像素值的范围与各个预定阈值进行比较。 该方法还包括基于所识别的可测量块的处理来估计该部分的半色调频率。

    Connected component analysis with multi-thresholding to segment halftones
    80.
    发明授权
    Connected component analysis with multi-thresholding to segment halftones 有权
    连接分量分析与多阈值分割半色调

    公开(公告)号:US09124841B2

    公开(公告)日:2015-09-01

    申请号:US14089894

    申请日:2013-11-26

    Abstract: Methods and systems receive an input image into a computerized device, create different binary images by applying different threshold measures to the input image using the computerized device, and identify components of a first binary image of the binary images using the computerized device. Such methods and systems also compare pixels of each of the components of the first binary image with corresponding pixels of a second binary image of the binary images to identify pixel differences using the computerized device. This allows these methods and systems to identify halftone areas within the input image based on the pixel differences exceeding a limit using the computerized device.

    Abstract translation: 方法和系统将输入图像接收到计算机化设备中,通过使用计算机化设备对输入图像应用不同的阈值度量来创建不同的二进制图像,并使用计算机化设备识别二进制图像的第一二进制图像的分量。 这样的方法和系统还将第一二进制图像的每个分量的像素与二进制图像的第二二进制图像的对应像素进行比较,以使用计算机化的设备来识别像素差异。 这允许这些方法和系统基于使用计算机化设备的超过极限的像素差异来识别输入图像内的半色调区域。

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