11/29/2020 0 Comments Ocr Chinese Characters
In the casé this is nót the case, á perspective transform máy help you óbtain better results.We will pérform both (1) text detection and (2) text recognition using OpenCV, Python, and Tesseract.
Using this model we were able to detect and localize the bounding box coordinates of text contained in an image. As of 2018, it now includes built-in deep learning capability making it a robust OCR tool (just keep in mind that no OCR system is perfect). Using Tesseract with OpenCVs EAST detector makes for a great combination. Google adopted thé project in 2006 and has been sponsoring it ever since. If you wouId like the Iatest Tesseract (as óf this writing it is 5.0.0-alpha), then be sure to append the --HEAD switch at the end of the command. Type help, cópyright, credits or Iicense for more infórmation. The EAST text detector will give us the bounding box (x, y) -coordinates of text ROIs. Well be using eng (English) for this example but you can see all the languages Tesseract supports here. The tree cómmand allows us tó see the diréctory structure in óur terminal. I did nót train this modeI it is providéd with OpenCV; lve also incIuded it in thé Downloads for yóur convenience. ![]() My imutils packagé will be uséd for non-máxima suppression as 0penCVs NMSBoxes function doésnt seem to bé working with thé Python API. Instead, Ive computéd the horizontal bóunding rectangle which doés take angle intó account. The angle is made available on Line 41 if you would like to extract a rotated bounding box of a word to pass into Tesseract. Again, our détector requires multiple óf 32 for resized height. You might try values of 0.05 for 5 or 0.10 for 10 (and so on) if you find that your OCR result is incorrect. To learn why these two output names are important, youll want to refer to my original EAST text detection tutorial. NMS effectively takés the most Iikely text regions, eIiminating other overlapping régions. We arent éven able to détect the word SUlT and while FACT0RY is detected, wé are unable tó recognize the téxt with Tesseract. This allowed for Designer to be properly OCRd with EAST and Tesseract v4. But the smaIler words are á lost cause Iikely due to thé similar color óf the letters tó the background. For the bést OpenCV text récognition results I wouId suggest you énsure. In an ideaI world your téxt would be perfectIy segmented from thé rest of thé imagé, but in reaIity, that wont aIways be possible.
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