Hi FWD: There are many methods to do this. as you said, you had do a transform to make sure the image in standard direction. if your image are in the standard scale, you can use a template match. but if has different scales, it will not work. but I think you can do a threshold, then binary fill, then the [no, si] will be a solid rectangle. you can do a region analysis http://scikit-image.org/docs/stable/api/skimage.measure.html#regionprops to make sure if it is your goal (by the area, perimeter and moments). I think it will be ok! you can also try the adboost, sift, and other local descriptor, and so on. but I think it is too fussy and waste to solve this problem. YXDragon ----- 原始邮件 ----- 发件人：Fabio <fdalforno@gmail.com> 收件人：scikit-image@python.org 主题：[scikit-image] Fwd: Extract a particular area in document 日期：2017年05月26日 14点42分 Hi all, my name's Fabio Dal Forno. I'm a basic scikit user and i have many question too. I've a lot of scanned document like this And i want to extract a particular area (si no, yes or no in english) see image below ​ After that i want to train a neural networ for detect the data compiled by people, y,x coordinate for detect the means of the area (materials damage ecc ecc) and a fixed dimension image for a neural network I started to work with the following step: 1) Homography for detect document orientation after that i transform the document for rectify that 2) Homography for detect si/no area and coordinate once the first step work wery well but the second doesn't detect anything. Am i wrong reasoning ? Thanks a lot and sorry for my beginner english :) ​ _______________________________________________ scikit-image mailing list scikit-image@python.org https://mail.python.org/mailman/listinfo/scikit-image