资源列表
百度接口人脸认证登陆
- 通过百度API调用从而实现人脸识别技术的功能(Realization of face recognition technology)
皮肤检测
- 皮肤检测仪是用来检测皮肤的仪器，它配上专业检测软件可以帮助消费者直观快速了解自己皮肤的健康状况。(A skin detector is an instrument used to test the skin. It is equipped with a professional testing software that can help consumers to get a quick and quick understanding of the health of their skin.)
matlab车牌识别完整程序
- 对图像中的车牌进行车牌区域提取、字符分割、自动识别(The area extraction, character segmentation and automatic recognition of the license plate in the image)
circlepoint
- 路标识别，模式识别大作业，圆形检测点；function [x, y] = circlepoints(r)(function [x, y] = circlepoints(r))
circle_houghpeaks
- 路标识别，模式识别大作业，圆形检测二；function peaks = circle_houghpeaks(h, radii, varargin)(The road sign recognition, pattern recognition operations, circle detection; function peaks = circle_houghpeaks(h, radii, varargin))
circle_hough
- 路标识别，模式识别大作业，圆形检测；检测彩色路标，直方图均衡化，提取圆形路标，增强提取目标，二值化,提取路标中的指示图，中值滤波，平滑滤波，图像边框处理，链码生成及识别(The road sign recognition, pattern recognition operations, circle detection; detection of color signs, histogram equalization, extracting circular signs, enhanced ex
lubiaoshibie
- 路标识别，模式识别大作业，主程序；检测彩色路标，直方图均衡化，提取圆形路标，增强提取目标，二值化,提取路标中的指示图，中值滤波，平滑滤波，图像边框处理，链码生成及识别(Road sign recognition, pattern recognition, big operation, main program, detection of color roadmap, histogram equalization, extraction of circular road signs, enhanc
Character Recognition
- 有关于字符识别，运用了OCR算法，内含完整的数据库和训练程序，还有一些测试集(From the matlab file exchange center, the character recognition written by the foreign gods, using the OCR algorithm, contains a complete training database.)
ALPR
- 关于车牌识别的一个程序，基于OCR算法的车牌识别(license plate recognition)
57776151asmPaam
- 基于matlab的手势识别算法设计。改设计是在matlab平台进行的。很好用。(Design of hand gesture recognition algorithm based on MATLAB.)
DMM_HOG
- 行为识别利用深度图提取特征识别。DMM方法(Behavior recognition using depth map to extract feature recognition)
条码识别
- Image primaryImage = Image.FromFile(fileName); Bitmap pImg = MakeGrayscale3((Bitmap)primaryImage); using (ZBar.ImageScanner scanner = new ZBar.ImageScanner()) { List<ZBar.Symbol> symbols = new List<ZBar.Symbol>(); System.Diagnostics.