资源列表
facedetection
- 关于人脸检测的课件和英语介绍，从概念上让你了解人脸检测的基本步骤，对初学者有用。-Courseware on face detection and English descr iption, the concept of face detection lets you know the basic steps to be useful for beginners.
LicensePlateRecognitionBasedonDSP
- 基于DSP车牌识别自主实验的实现,论文介绍了自主学习教育理念下开设的一门新的课外研修综合性实验课程。该实验课程将DSP、数字图像处理和模式识别相结合,面 向工程实例,以车牌识别系统的开发作为整个实验的内容,并采用从网络选课、自主实验到审核评估的学习模式。实验克服了传统实验课程中 各部分实验分离的缺点,设计了三部分面向应用的综合性实验,作为学生提高综合知识工程应用能力的平台。 -License Plate Recognition Based on DSP implementation
license_plate_recognition
- 十篇国外有关车牌识别的经典文章,对做车牌识别的人很有应用-there are ten papers about licence plate recognition from abroad, useful for the peophe who do research on license plate recognition
Road-extraction
- 关于城市地区的SAR道路提取算法，使用的方法是马尔可夫随机场算子-On road extraction in urban areas of the SAR algorithm is used MRF operator
e
- 位图模糊找图 e语言源码 很强大啊-Figure e bitmap fuzzy looking very strong language source ah
fourierdescriptors.m
- 傅立叶描述子，用于二值图像识别。已经验证过，可以用-The Fourier descr iptors for image recognition
Unique_problem_of_fingerprint
- 指纹独一无二问题的研究:是某年高教社杯全国大学生数学建模竞赛题目，也可作为学生毕业设计参考！-The problem of fingerprint unique: It is a higher education community in the National Mathematical Contest in Modeling Cup title, also can be used as design reference graduation!
Fingerprint_acquisition_system_based_on_FPS200_Des
- 基于FPS200指纹采集系统的设计与实现:文章采用新型固体指纹传感芯片FPS200设计出完整的指纹采集系统。该系统具有结构简单、采集速率快、图像质量高等特点,为现今的活体指纹采集提出高效的解决方案。通过对芯片参数的调整,实验表明该系统能够采集到清晰、高质量的指纹图像,为身份认证提供优良的图像来源。-Fingerprint acquisition system based on FPS200 Design and Implementation: This paper fingerprint sen
mimasuo
- 密码锁课程设计 采用指纹 声音控制 输入密码正确 门开 不正确 报警-mi ma suo she ji
facedetect
- 通过图像预处理，实现人脸边缘检测，特征点提取。标记出眼、鼻、嘴三处特征点-Through preprocessing, for face detection, feature point extraction. Mark out the eyes, nose, mouth and three feature points
hough1
- 经典的hough直线变换检测算法，可以极坐标进行转换，然后再检测直线-Line detection algorithm
Recog
- 用于数字字符识别。包括对含有数字的图片进行二值化，去噪，分隔字符，归一化处理，训练神经网络并识别。-For digital character recognition. Including the number of pictures that contain binary, denoising, separation characters, normalization, and identification of training neural networks.