anpr

How to tune tesseract for identifying number plate of a car more accurately?

由 旧时模样 提交于 2020-02-06 09:34:11
问题 I have a code to detect and identify the car number plate and convert the image into text using tesseract. I am using openCV to localise the number plate. The problem that I am facing is that tesseract is not accurately identifying the number. Is there any way I can improve the tesseract performance? My code (which I downloaded from Internet) is: import numpy as np import cv2 # from copy import deepcopy from PIL import Image import pytesseract as tess # plate = 0 def preprocess(img): # print

How to tune tesseract for identifying number plate of a car more accurately?

由 放肆的年华 提交于 2020-02-06 09:30:46
问题 I have a code to detect and identify the car number plate and convert the image into text using tesseract. I am using openCV to localise the number plate. The problem that I am facing is that tesseract is not accurately identifying the number. Is there any way I can improve the tesseract performance? My code (which I downloaded from Internet) is: import numpy as np import cv2 # from copy import deepcopy from PIL import Image import pytesseract as tess # plate = 0 def preprocess(img): # print

Removing extra pixels/lines from license plate

由 时光毁灭记忆、已成空白 提交于 2019-12-20 05:14:23
问题 I am using HOG feature detector based on SVM classification. I can successfully extract license plate, but the extracted number plate have some unnecessary pixels/lines apart from license number. My image processing pipeline is as follows: Applying HOG detector on the grayscale image Cropping detected region Re-sizing the cropped image Applying adaptive threshold to highlight the plate numbers & filtering background using following Opencv code cvAdaptiveThreshold(cropped_plate, thresholded

License Plate Recognition - Determining Color Range For Pixel Comparison

由 蓝咒 提交于 2019-12-17 10:31:20
问题 Well after much work regarding vehicle plate detection, I've decided that simply finding a 'pattern' of yellow pixels within an image would be a sufficient method of finding the location of a license plate within an image. Currently I use various graphic filters and detect white pixel patterns, however this is proving to be more and more problematic. Now for the question, I'm aware that the 'yellow' are a license plate is based on numerous factors such as brightness, environment. Insight of

How to recognize vehicle license / number plate (ANPR) from an image? [closed]

由 有些话、适合烂在心里 提交于 2019-12-17 07:59:07
问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed last year . I have a web site that allows users to upload images of cars and I would like to put a privacy filter in place to detect registration plates on the vehicle and blur them. The blurring is not a problem but is there a library or component (open source preferred) that will help with

Compute Vertical Gradients for License Plate Localization

由 橙三吉。 提交于 2019-12-12 05:24:54
问题 I am new with MATLAB and trying to implement the following step of License Plate Localization: Here's my progress so far. Code: [rows,cols] = size(img); image_gradient = zeros(rows,cols); for i =1:1:rows for j =1:1:cols-1 image_gradient(i,j) = abs( img(i,j+1) - img(i,j) ); end end figure,imshow(image_gradient);title('Gradient'); Output: I will be indeed grateful if someone can guide me what I am doing wrong here. 回答1: Well to start off you should understand that illumination is a pain in the

How to use javaanpr in Android app?

由 隐身守侯 提交于 2019-12-11 02:29:33
问题 I would like to use this library for Car plate recognition in my Android app. I red about JNI, but i'm still not able to get some good explained tutorial, how can i use use this library in my Android app. http://javaanpr.sourceforge.net/ Thanks for any advice. 回答1: In it's current state, you will not be able to use JavaANPR on Android. The problem is, that JavaANPR's core functions use the java.awt package quite heavily (for example Photo.java) and Android doesn't support AWT mostly (AWT

JavaANPR local plate recegtion (Localizing)

由 ε祈祈猫儿з 提交于 2019-12-10 19:32:20
问题 Im use to JavaANPR http://javaanpr.sourceforge.net/ I have a problem for localizing problem. I want to read Turkey plate but I getting an error not read. Why could it be. Which should I use syntax. my xml syntax <type name="turkey"> <char content="0123456789"/> <char content="0123456789"/> <char content="abcdefghijklmno0pqrstuvwxyz"/> <char content="abcdefghijklmno0pqrstuvwxyz"/> <char content="0123456789"/> <char content="0123456789"/> <char content="0123456789"/> </type> Sample Turkey

Localizing JavaAnpr for local license plates

由 一曲冷凌霜 提交于 2019-12-05 09:50:00
问题 I am working with JavaAnpr to automatically recognize license plates. While it works well with European license plates, it doesn't with my country. For example; How could I edit the recourse files and syntax XML to support other countries? 回答1: @michel_layyous - Here's the documentation by the author. Read Page 57: http://javaanpr.sourceforge.net/anpr.pdf syntax.xml is essentially a regex file. Using this page as an example: https://code.google.com/p/android-anpr/source/browse/trunk/res/raw

License Plate Recognition - Determining Color Range For Pixel Comparison

由 与世无争的帅哥 提交于 2019-11-27 11:43:31
Well after much work regarding vehicle plate detection, I've decided that simply finding a 'pattern' of yellow pixels within an image would be a sufficient method of finding the location of a license plate within an image. Currently I use various graphic filters and detect white pixel patterns, however this is proving to be more and more problematic. Now for the question, I'm aware that the 'yellow' are a license plate is based on numerous factors such as brightness, environment. Insight of this I would need a range to compare to, for example: if(FindIfYellow(GetPixel(x, y))) However I don't
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