{"id":1927,"date":"2017-10-13T22:44:57","date_gmt":"2017-10-13T20:44:57","guid":{"rendered":"https:\/\/www.adimec.com\/best-image-for-automatic-license-plate-recognition-alpr-part-3-remove-image-artifacts\/"},"modified":"2018-07-27T17:13:42","modified_gmt":"2018-07-27T15:13:42","slug":"best-image-for-automatic-license-plate-recognition-alpr-part-3-remove-image-artifacts","status":"publish","type":"post","link":"https:\/\/www.adimec.com\/ja\/best-image-for-automatic-license-plate-recognition-alpr-part-3-remove-image-artifacts\/","title":{"rendered":"Best Image for Automatic License Plate Recognition \u2013 ALPR \u2013 part 3 Remove Image Artifacts"},"content":{"rendered":"
\n

Usable images for ALPR<\/a> are sharp<\/a>, contrast rich<\/a> and without artifacts. Reducing image sensor artifacts is probably the most difficult thing to do, but here are some artifacts that camera manufacturers can help to remove or minimize that are specific to the needs of ALPR:<\/p>\n

<\/p>\n

Preventing Ghost Images<\/span><\/p>\n

Ghost images can appear if Infrared (IR) lighting is used in combination with a visible light block filter (See Figure 1<\/b>). \u00a0By using the correct filters, ghost images can be decreased as long as the filter is properly aligned with the lens, camera, and the lighting.\u00a0 The simplest way to prevent ghost images and lens artifacts from interfering with the system performance is to utilize a camera supplier that also has the expertise to properly integrate the filter and lens with the camera.<\/p>\n

\"ghosting<\/a><\/p>\n

Figure 1:\u00a0 Example of ghost images (one digit of the license plate has been obscured for privacy)<\/b><\/p>\n

Manage Blooming and Smear<\/span><\/p>\n

Blooming and smear are challenges with outdoor vision systems, where blooming and smear (streaks) are artifacts created by saturation from very bright spots in a scene (See Figure 2<\/b>).\u00a0 Bright spots can originate from headlights, reflections off license plates, the sun at certain times of the year, or sun reflecting on the road.\u00a0 Image processing in the system cannot correct these artifacts so blooming and smear must be managed in the camera through special functionality to ensure that the license plate is not obscured in the original image data.<\/p>\n

\"describe<\/a><\/p>\n

Figure 2.\u00a0 Example of Blooming and Smear<\/b><\/p>\n

 <\/p>\n

Improve Channel Matching<\/span><\/p>\n

Even with effective management of blooming and smear, direct sunlight can cause a poor image if the image sensor channel matching is insufficient in the camera<\/a>. Image sensors usually have 2 or 4 readout channels that need to be stitched together in the camera to recreate the complete image. Cameras with bad channel matching can deliver images with one part overexposed and the other part underexposed. This leads to poor performance of the OCR algorithm.<\/p>\n

Since automatic license plate recognition (ALPR) or automatic number plate recognition (ANPR<\/a> relies on optical character recognition (OCR<\/a>) of images, it makes sense that a higher quality input image results in higher accuracy<\/a>.<\/p>\n

 <\/p>\n

With the proper alignment of the lens, filter, camera, and lighting, as well as specialized functionality in the camera to deal with extreme lighting conditions of traffic applications, image artifacts are reduced or eliminated.\u00a0 This combined with optimized sharpness<\/a> and contrast<\/a>, results in high quality images and therefore better license plate recognition rates<\/a>.<\/em><\/p>\n

\u00a0<\/b><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Usable images for ALPR are sharp, contrast rich and without artifacts. Reducing image sensor artifacts is prob…<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1927","post","type-post","status-publish","format-standard","hentry","category-uncategorized","category-1","description-off"],"yoast_head":"\nBest Image for Automatic License Plate Recognition \u2013 ALPR \u2013 part 3 Remove Image Artifacts - Adimec JA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.adimec.com\/ja\/best-image-for-automatic-license-plate-recognition-alpr-part-3-remove-image-artifacts\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Best Image for Automatic License Plate Recognition \u2013 ALPR \u2013 part 3 Remove Image Artifacts - Adimec JA\" \/>\n<meta property=\"og:description\" content=\"Usable images for ALPR are sharp, contrast rich and without artifacts. 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