huidu-avi.m

表單驗證 調用為 onBlur=checkform(fname1,fname2,types,value1,value2) 輸入框的驗證 onSubmit subt(this.id) 表單提交時的驗證 兩者需要一起使用 fname1=驗證的項目名 fname2=驗證的副項目名 types=驗證的方式 value1=驗證的值1 value2=驗證的值2 驗證的方式值:(多驗證方式用"|"分割 例: 1|2|3) 0.該值不能為空! 1.您輸入太短了!不能小於value1字符 2.您輸入太多了!不能超過value2字符! 3.你的兩次密碼不一至,請驗證! 4.您的輸入與要求不相符,該輸入只能在value1~value2之間! 5.您輸入的E_mail不正確!請重新輸入! 6.只能為數字 */(calling for the certification form onBlur = checkform (fname1. fname2, types, value1, value2) input box test onSubmit subt (this.id) at the time of submission of the form Taken together need to verify the use of the test fname1 = fname2 = projects were validated by the deputy project were typ es = verifiable means value1 = the value of a certification value2 = 2 certification test the value of values : (multi-authentication "|" segmentation cases : 1 | 2 | 3) 0. The value can not be empty! 1. Your input is too short! value1 not less than two characters. You lose into too many! not more than value2 characters! 3. your password twice to different, Please validation! 4. Your input is not in line with requirements, The importation of only between value1- value2! 5. E_mail you enter )

文简要介绍了指纹识别的基本步骤，分别是指纹图像预处理、指纹特征提取、指纹匹配(This paper briefly introduces the basic steps of fingerprint recognition, which are fingerprint image preprocessing, fingerprint feature extraction and fingerprint matching)

当前流行的机器学习算法之一：boosting的变体——Gentleboost(The current popular one of machine learning algorithms: boosting variants- Gentleboost)

有关数字图像处理的一些源码，可以实现一些处理图像的功能，但要配合数字摄像机使用(Digital image processing of the number of source, you can achieve the functions of image processing, but with the use of digital cameras)

tiff图像的读取与处理，并且说明清新，有很大的帮助。(The reading and processing of the tiff image, and the description of the fresh, is of great help.)

对图像进行大津法阈值分割，以及图像的分块。(Image Otsu threshold segmentation, as well as block images.)

采用快速简单的投影法和差影法实现条烟的缺陷检测(Fast simple video projection method and differential method to achieve Article smoke Defect Detection)

hessian矩阵在图像处理中的应用。根据图像所得函数，建立相应的hessian矩阵(hessian matrix in image processing applications. The resulting function according to the image, to establish the corresponding hessian matrix)

说明：  基于最小二乘法的仿射变换 matlab实现(Least square method based on the realization of affine transformation matlab)

Object Detection Combining Recognition and Segmentation, Eighth Asian Conference on Computer Vision (ACCV), 2007 源代码(Object Detection Combining Recognition and Segmentation, Eighth Asian Conference on Computer Vision (ACCV), 2007 source code)