资源列表
matlab_car_recognize.rar
- 这是我在外国网站上下的一个用matlab做的车牌识别系统。效果不错。值得学习。,This is my web site from top to bottom in a foreign country to use matlab to do a license plate recognition system. Good results. Worth learning.
2dpca的matlab源代码
- 2dpca的matlab源代码 3 有关于人脸识别或车辆检测-2dpca matlab source code 3 on face recognition or vehicle inspection
BackProjection
- 用Matlab实现的后向投影算法，一个经典的投影算法，常用语CT断层成像中-After using Matlab implementation of the algorithm to the projection, the projection of a classical algorithm, commonly used terms in CT tomography
Car_PLR.rar
- 本人用matlab编写的车牌定位算法，采用行扫描，定位结果还是相当准确的,I am prepared to use matlab license plate location algorithm, the use of line scanning, positioning is very accurate results
OCR.rar
- 光学字符识别，是matlab代码，简单易懂，有详细的注释,Optical character recognition, it is easy to understand and matlab code with detailed notes
mean.shift.matlab
- 利用mean shift实现图像分割和平滑-utilize the mean shift method to achieve image segementation and flatness.
recog-barcode
- 通过对图像的剪切，灰度化，二值化，去躁点，来识别条形码、二维码。本源码附参考文献和测试图像。-Cut through the image, grayscale, binary, to impatient points to identify bar codes, two-dimensional code. The source with references and test images.
SRC 实现了使用基于稀疏表示的人脸识别算法
- 该源码实现了使用基于稀疏表示的人脸识别算法。使用GPSR作为l1模最小化方法。-This pack of code implement a imges-based face recognition using sparse representation classification. In the algorithm, i employ GPSR as tool to complete the optimization procedure of l1-minimization.
chepai
- 车牌识别系统 包括字符分割和识别两部分 识别精度很高-License Plate Recognition system includes character segmentation and identification of two parts, a high identification accuracy
vc_ocr
- 这是一个数字图像识别程序，能够从图形文件中识别数字和字母，可以识别车牌号和手机号码-digital OCR program
Adaboost_train
- ADBOOST的训练代码，有供训练的数据，弱分类器训练，强分类器训练，和错误率，对理解ADABOOST是很好的例程-codes of adaboost traning,containing data for traning, implementation of weakleaner and cascad,and error as well,it can help us leaning ADABOOST
BAG-OF-WORDS-daima-PG_SPBOW
- matlab编写的bag of words，可以对目标进行特征提取，实现目标匹配识别。-Matlab prepared bag of words, the target feature extraction, to achieve the goal of matching recognition.