Description: This an digit recognition application. (OCR or ICR application). First you draw a digit in the picturebox. Then the image processing begins and recognize the digit and returns you the result. I used correlation matching algorithm for character recognition and k-neighbor classifying algorithm to select the true digit. Database includes handwritten digit examples which are collected from a hundred persons. These digit images converted to binary type before added to the database.-This an digit recognition application. (OCR or ICR application). First you draw a digit in the picturebox. Then the image processing be Huggins and recognize the digit and returns you the result. I used correlation matching algorithm for character recognition and k-neighbor clas sifying algorithm to select the true digit. Dat abase includes handwritten digit examples whi ch are collected from a hundred persons. These d igit images converted to binary type before add ed to the database. Platform: |
Size: 42182 |
Author:Toby |
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Description: This an digit recognition application. (OCR or ICR application). First you draw a digit in the picturebox. Then the image processing begins and recognize the digit and returns you the result. I used correlation matching algorithm for character recognition and k-neighbor classifying algorithm to select the true digit. Database includes handwritten digit examples which are collected from a hundred persons. These digit images converted to binary type before added to the database.-This an digit recognition application. (OCR or ICR application). First you draw a digit in the picturebox. Then the image processing be Huggins and recognize the digit and returns you the result. I used correlation matching algorithm for character recognition and k-neighbor clas sifying algorithm to select the true digit. Dat abase includes handwritten digit examples whi ch are collected from a hundred persons. These d igit images converted to binary type before add ed to the database. Platform: |
Size: 41984 |
Author:Toby |
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Description: 一家银行希望采用光学字符识别系统自动读出支票中的账号，组成账号的每个数字都是7段数
位体。一种图象处理软件可以将组成数字的横段和竖段分别转换成ASCII码中的竖线‘|’和下划线
‘_’。你需要设计一个程序，从扫描转换的结果推测原始的账号，假定：
(1)若经扫描转换的某组数字全部保存了正确的数字形式而且满足校验条件，则该组数字就是原
始的账号；
(2)9位数中最多只有一位在扫描转换中失去正确的数字形式；
(3)扫描转换不会引入额外的数位段。
-A bank wishing to use optical character recognition system to automatically read out a check in the account number, account number of each component figures are 7 digital body. An image processing software can be composed of the number of horizontal and vertical segment conversion into ASCII code, respectively, of a vertical bar ' |' and underscore ' _' . You need to design a procedure, the results from the scan conversion of the account that the original, it is assumed that: (1) if the scan conversion of a group of figures all of the right to preserve in digital form and check to satisfy the conditions, the group of figures is the original account (2) 9-digit up to only one lost in the scan conversion right in digital form (3) scan conversion will not introduce a number of additional paragraphs. Platform: |
Size: 3072 |
Author:hjx |
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Description: 此文件包包含用卷积神经网络识别手写输入的识别程序，数据可从MNIST下载-This release includes sample of handwritten digits recognition using CNN. If you just want to try it run cnet_tool. You ll see a simple GUI. It loads pretrained convolutional neural net from cnet.mat and recognizes image of digit either painted in painting area or downloaded from MNIST database. Platform: |
Size: 637952 |
Author:Hunter |
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