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pcasift
- 对虹膜识别的图像预处理各个步骤和虹膜图像特征提取 过程进行了研究，提出了一种虹膜定位算法-The image of the iris recognition iris image preprocessing steps and feature extraction process is studied, presents a iris location algorithm
eyelocation_baseonwholeimage
- 一个人眼定位程序.比较好的算法.可供开发人眼检测和人脸识别用!-A human eye locator. Better algorithms. For the development of the human eye detection and face recognition with!
vehiclehsv
- 能够对大部分的车牌进行定位,和识别 .包括数字图像处理的 均衡化,灰度化,中值滤波,平滑处理,各种边缘检测算法,还有四种二值化方法 。-Be able to locate most of the plates, and identification. Including digital image processing equalization, graying, median filtering, smoothing, various edge detection algorithms, th
platerecognition
- 车牌识别关键技术的程序: 256色转灰度 中值滤波 车牌截取 车牌定位等-License Plate Recognition of key technologies program: 256-color gray scale median filter plate switch plate positioning interception
detection
- 通过人眼图像来检测驾驶员疲劳驾驶是目前的主流方向,面部及眼睛定位是其中关键的环节。针对驾驶员疲 劳检测系统,结合图像处理和模式识别技术,提出一种基于人脸面部特征的人眼定位方法。-Image by the human eye to detect driver fatigue, driving is the main direction, face and eye location is the key link. For the weary driver Labor inspection
VehiclePositioning
- 该程序是个很不错的车牌定位与识别系统源代码,可以比较清晰和准确的提取出车辆的牌照文字包括中文.英文和数字ps 压缩包中附有车牌图.在vc环境下就可以调试,运行-Vehicle Positioning
fc
- MATLAB下的人脸定位程序，程序小巧易懂，适合初学者研究进而演化出识别率更好的程序-Under MATLAB Face Locator, the program small and easy to understand, suitable for beginners through research programs evolve better recognition rate
positioning
- 是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统-Are two examples of more integrated, namely Visual C++ implementation of text based on neural networks and the license plate recognition system positioning systems
MedicalImage
- 基于神经网络的文字识别系统是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统-Based on neural network character recognition system
blinkeyes
- 通过眨眼来识别人的眼睛，比人脸识别速度要快些。能够辅助定位-Through the blink of an eye to identify the person' s eyes, faster than the speed of face recognition. We could help locate
PRR2
- 本程序实现的功能是完成对车牌图像的定位、字符分割、字符识别功能的实现。-To achieve the function of this program to complete the license plate image positioning, character segmentation, character recognition implementation.
E51
- 一款能够自动识别器件型号，并带有读写，擦除写锁定位等功能的简易51串行编程器完整KEIL C工程。-A model can automatically recognize the device, and with read and write, erase, write lock functions such as simple 51-bit serial programmer complete KEIL C project.
faceLoc
- 图像人脸检测,眼睛定位的演示程序,可以作为人脸识别的参考。-Images of people face detection, eye location of the demo program can be used as reference for face recognition.
Platerecogniztion
- 实现了对车牌识别系统中的图像预处理、车牌定位、字符分割和字符识别等环节涉及到的技术、算法以及系统整体设计作了全面的论述，并与已有方案进行了比较，对部分关键算法进行了设计和改进。-License plate recognition system to achieve the right of the image pre-processing, vehicle license plate location, character segmentation and character recogniti
face
- 图像识别，包括人脸识别和虹膜识别，在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。-Image recognition, including face recognition and iris recognition, iris position in the digital image of the iris recognition and effective po
ImageProcessingpos
- 图像处理中虹膜位置的有效定位是虹膜识别的关键技术，本程序对此问题进行了比较完善的处理-Image Processing position of the iris and effective positioning is the key to iris recognition technology, the issue of this procedure were compared to complete treatment
mbsb
- Matlab在图像处理与目标识别方面的应用 附有例题 1染色体识别与统计 2汽车牌照定位与字符识别 3 基于BP神经网络识别字符的简单实验-Matlab image processing and target recognition in the application of a chromosome with Example 2 License Plate Recognition and Statistical location and character recognition based
A_Pretreatment_Method_of_Biometrics_Based_on_Color
- 生物特征识别技术作为一种身份鉴别手段具有独特的优势。在生物特征识别系统中, 采集数据的预处 理是不可或缺的环节。以人脸识别为例, 介绍了一种在复杂背景的彩色图像中, 基于颜色和知识的生物特征预处理 方法。首先利用颜色信息从图像中分割出类肤色区域, 然后运用人脸几何特征和眼睛的提取定位人脸。仿真实验表 明, 该算法能较为准确地定位彩色图像中的正面或小角度偏转的人脸, 具有较快的运算速度。-Biometrics as an identification tool has a unique
location
- 车牌定位的好论文，包含图像分析，图像编码，道路车辆识别，矢量量化。-Vector Quantization for License-Plate Location and Image Coding IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
car
- 基于计算机图像处理技术的汽车牌照自动识别系统,要求能够将运动中汽车的牌照从复 杂背景中准确地提取并识别出来。介绍了所研制的汽车牌照自动识别系统和关键技术(图像分割 与车牌定位、图像二值化和字符提取、车牌字符识别等) 。试验结果显示,系统在Celeron Ⅱ633+ 128M 的PC 机上,对图像尺寸为768 ×574 的311 幅试验图片的识别准确率达到90 ,识别时间≤ 1. 5s。-The objective of automatic vehicle number plate