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dct1_embed
- research on against geometry attacks watermarking technology. A digital Watermarking scheme, which is based on combination of simple and reliable harries detector and image normalization, is proposed. The feather points remain holding after geometry
RSC
- 强壮的人脸识别系统，发表于cvpr2011年，程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse linear combination of the trai
RecognitionofOffLineHandwrittenArabicWordsUsingHi
- Hidden Markov Models (HMM) have been used with some success in recognizing printed Arabic words. In this paper, a complete scheme for totally unconstrained Arabic handwritten word recognition based on a Model discriminant HMM is presented. A
A-Novel-Multi-Division-Template-Protection-(MDTP)
- A Novel Multi-Division Template Protection (MDTP) Scheme for Iris Recognition Based on Fuzzy Vault
RSC
- 人脸识别的稀疏表示识别方法将稀疏表示的保真度表示为余项的L2范数，但最大似然估计理论证明这样的假设要求余项服从高斯分布，实际中这样的分布可能并不成立，特别是当测试图像中存在噪声、遮挡和伪装等异常像素，这就导致传统的保真度表达式所构造的稀疏表示模型对上述这些情况缺少足够的鲁棒性。而最大似然稀疏表示识别模型则基于最大似然估计理论，将保真度表达式改写为余项的最大似然分布函数，并将最大似然问题转化为一个加权优化问题-Recently the sparse representation (or codin
control
- 门禁控制器电路原理图，可以使用，能控制四个门，是一个通用的方案-Access controller circuit diagram, can use, can control the four gate, is a universal scheme
facerecognition_guide-master
- 基于Python的人脸检测与识别系统，用了特征脸方法和FisherFaces方法，都是业内最基础最经典的方案。-Python-based face detection and recognition system, using the methods and FisherFaces Eigenface method, the most basic is the industry s most classic scheme.
OCR-ResultaProgram
- An algorithm to recognize distorted Machine and handwritten characters is proposed. It uses a feature point extraction-based recognition approach. A new verification scheme, which deals with this problem, is presented. A new feature extractor set is
final
- 本文件是我做的关于PCM的编程实现方案,希望能对大家的通信-This document is I do about the PCM programming implementation scheme, hope I can communication with everyone
shouxiehanzijiegou
- 针对手写体汉字识别问题，选取笔段和笔划作为基元，分析手写体汉字的组成规律和变形规律，提出了两种汉字结构模型：笔段中心点模型和笔划关系矩阵模型，以及基于模型的分类依据和识别方法。根据所提出的模型，采用两级分类方案构造汉字识别系统 粗分类采用笔段中心点法，细分类采用笔划关系矩阵法。-Aiming at the problem of handwritten Chinese character recognition, selecting pen and stroke as primitives, an