Swift 3-如何提高Tesseract的图像质量? [英] Swift 3 - How do I improve image quality for Tesseract?

问题描述

我正在使用Swift 3构建一个移动应用程序，该应用程序允许用户拍照并在生成的图像上运行Tesseract OCR.

I am using Swift 3 to build a mobile app that allows the user to take a picture and run Tesseract OCR over the resulting image.

但是，我一直在尝试提高扫描质量，但似乎效果不佳.我已将照片分割成我想识别的放大"区域，甚至尝试将其设为黑白.是否有增强"或优化图片质量/尺寸的策略，以便Tesseract可以更好地识别它?谢谢！

However, I've been trying to increase the quality of scan and it doesn't seem to be working much. I've segmented the photo into a more "zoomed in" region that I want to recognize and even tried making it black and white. Are there any strategies for "enhancing" or optimizing the picture quality/size so that Tesseract can recognize it better? Thanks!

tesseract.image = // the camera photo here
tesseract.recognize()
print(tesseract.recognizedText)

我遇到了这些错误，不知道该怎么办:

I got these errors and have no idea what to do:

Error in pixCreateHeader: depth must be {1, 2, 4, 8, 16, 24, 32}
Error in pixCreateNoInit: pixd not made
Error in pixCreate: pixd not made
Error in pixGetData: pix not defined
Error in pixGetWpl: pix not defined
2017-03-11 22:22:30.019717 ProjectName[34247:8754102] Cannot convert image to Pix with bpp = 64
Error in pixSetYRes: pix not defined
Error in pixGetDimensions: pix not defined
Error in pixGetColormap: pix not defined
Error in pixClone: pixs not defined
Error in pixGetDepth: pix not defined
Error in pixGetWpl: pix not defined
Error in pixGetYRes: pix not defined
Please call SetImage before attempting recognition.Please call SetImage before attempting recognition.2017-03-11 22:22:30.026605 EOB-Reader[34247:8754102] No recognized text. Check that -[Tesseract setImage:] is passed an image bigger than 0x0.

推荐答案

我已使用以下方法在swift 3中相当成功地使用了tesseract:

ive been using tesseract fairly successfully in swift 3 using the following:

func performImageRecognition(_ image: UIImage) {

    let tesseract = G8Tesseract(language: "eng")
    var textFromImage: String?
    tesseract?.engineMode = .tesseractCubeCombined
    tesseract?.pageSegmentationMode = .singleBlock
    tesseract?.image = imageView.image
    tesseract?.recognize()
    textFromImage = tesseract?.recognizedText
    print(textFromImage!)
}

我还发现对图像进行预处理也有帮助.我在UIImage中添加了以下扩展名

I also found pre-processing the image helped too. I added the following extension to UIImage

导入UIKit 导入CoreImage

import UIKit import CoreImage

    extension UIImage {

        func toGrayScale() -> UIImage {

            let greyImage = UIImageView()
            greyImage.image = self
            let context = CIContext(options: nil)
            let currentFilter = CIFilter(name: "CIPhotoEffectNoir")
            currentFilter!.setValue(CIImage(image: greyImage.image!), forKey: kCIInputImageKey)
            let output = currentFilter!.outputImage
            let cgimg = context.createCGImage(output!,from: output!.extent)
            let processedImage = UIImage(cgImage: cgimg!)
            greyImage.image = processedImage

            return greyImage.image!
        }

        func binarise() -> UIImage {

            let glContext = EAGLContext(api: .openGLES2)!
            let ciContext = CIContext(eaglContext: glContext, options: [kCIContextOutputColorSpace : NSNull()])
            let filter = CIFilter(name: "CIPhotoEffectMono")
            filter!.setValue(CIImage(image: self), forKey: "inputImage")
            let outputImage = filter!.outputImage
            let cgimg = ciContext.createCGImage(outputImage!, from: (outputImage?.extent)!)

            return UIImage(cgImage: cgimg!)
        }

        func scaleImage() -> UIImage {

            let maxDimension: CGFloat = 640
            var scaledSize = CGSize(width: maxDimension, height: maxDimension)
            var scaleFactor: CGFloat

            if self.size.width > self.size.height {
                scaleFactor = self.size.height / self.size.width
                scaledSize.width = maxDimension
                scaledSize.height = scaledSize.width * scaleFactor
            } else {
                scaleFactor = self.size.width / self.size.height
                scaledSize.height = maxDimension
                scaledSize.width = scaledSize.height * scaleFactor
            }

            UIGraphicsBeginImageContext(scaledSize)
            self.draw(in: CGRect(x: 0, y: 0, width: scaledSize.width, height: scaledSize.height))
            let scaledImage = UIGraphicsGetImageFromCurrentImageContext()
            UIGraphicsEndImageContext()

            return scaledImage!
        }

        func orientate(img: UIImage) -> UIImage {

            if (img.imageOrientation == UIImageOrientation.up) {
                return img;
            }

            UIGraphicsBeginImageContextWithOptions(img.size, false, img.scale)
            let rect = CGRect(x: 0, y: 0, width: img.size.width, height: img.size.height)
            img.draw(in: rect)

            let normalizedImage : UIImage = UIGraphicsGetImageFromCurrentImageContext()!
            UIGraphicsEndImageContext()

            return normalizedImage

        }

    }

然后在将图像传递到performImageRecognition

func processImage() {

    self.imageView.image! = self.imageView.image!.toGrayScale()
    self.imageView.image! = self.imageView.image!.binarise()
    self.imageView.image! = self.imageView.image!.scaleImage()
}

希望这会有所帮助

这篇关于Swift 3-如何提高Tesseract的图像质量?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！