资源列表
T5
- 统计输入的每个字母的个数。这个程序只能够识别小写字母-Statistics the number of each letter entered. This program can only recognize lowercase letters
efinger
- 用于识别指纹的软件-Used to identify the fingerprint of the software! ! ! ! ! ! ! ! ! ! ! ! ! ! !
yuanchuang1
- 车牌识别的一个完整程序，其中定位方式用的是形态学办法，识别部分是神经网络，程序比较简单，但能实现系统识别要求，并有数个图片示例支撑，适用于初学者弄懂程序，学习思维方法。-License Plate Recognition of a complete program, including positioning the morphological approach used to identify parts of a neural network, the program is relative
ZAZ-020-2010-10-06
- 指纹锁使用手册-ZAZ-020-2010-10-06，指纹开锁及电容指纹系统-Fingerprint lock using manual- ZAZ- 020-2010-10-06, fingerprint lock and capacitor fingerprint system
MathematicsofShapeDescriptionAMorphologicalApproac
- 在图像处理中形状描述通常是一件比较困难的事情，这本书用Morphological的方法对形状进行描述，以便于进一步进行图像的模式识别和理解。-The computer descr iption of shape and the computer manipulation of shape is complex simply because shape itself is complex. Of course, if the world of shape were limited to the
PatternTheoryFromRepresentationtoInference
- 模式理论，从表示到推导。在模式识别中知识的表示通常是一个非常难的问题，这本书详细地描述了如何表达图像中的各个模式，并用得到的模式表达进行模式识别的推导。-This book is to be an accessible book on patterns, their representation, and inference. There are a small number of ideas and techniques that, when mastered, make the subj
Face_Detection
- 这个是人脸识别的论文。包括12篇。我在网上找了很久很久的。其中侧重对adaboost算法的讲述。读了以后可以对adaboost算法有了较清晰的了解。至少我是这样。-This is recognition of the paper. Including 12. I am online looking for a long, long time. Which focuses on the algorithm described adaboost. After reading adaboost alg
faces.tar
- 这是我在卡耐基梅隆大学图片数据库下的图片。19*19的数千张包括人脸和非人脸的pgm格式的图片。用来做人脸识别的训练和测试足够了。好资源-This is my picture database at Carnegie Mellon University under the picture. 19* 19 thousands, including face and non-human face of the pgm format. Used for training and testing fac
Specific_Emitter_Identification_Presentation
- 辐射源指纹识别的介绍及定义，有很好的参考价值-Specific_Emitter_Identification_Presentation
rxmbjcsfxnpg
- 几种典型红外弱小目标检测算法的性能评估文档，是进行算法开发的研究基础-Typical infrared small target detection algorithm performance assessment.This document is the basis for algorithm development research
solut3-4th
- Pattern_Recognition_4nd _CH3-solution