1) steganography
数字隐写
1.
Steganalysis is the attacks to steganography, and its important task is the detection of hidden messages.
数字隐写是信息隐藏的一个重要分支,它是通过隐藏通信过程的存在性来获得通信的安全。
2.
Video steganography has the advantage of large embedding capacity, but the security is usually neglected when obtain the capacity.
视频数字隐写具有隐藏容量大的优点,但是通常在获得隐藏容量的同时,却忽视了安全性。
3.
Moreover,utilizing the principle of steganography based on error-correcting code,the shared keys are introduced to further strengthen the security.
针对二值图像仅有两种颜色,对像素修改敏感的特点,提出了一种基于行程编码的二值图像数字隐写算法。
2) handwritten numeral
手写数字
1.
This paper mainly discusses the application in the handwritten numeral pattern-recognition of artificial neural network.
本文讨论了人工神经网络在手写数字识别中的应用,针对手写体数字的结构特点,采用改进的BP学习算法进行识别。
3) steganography
数字密写
1.
A Steganography Techniques Based on Three Chaos System;
基于多混沌系统的数字密写技术
2.
Design and Implementation of Steganography Based on Picture;
基于图片的数字密写设计与实现
3.
Design and Implementation of a Steganography system Based on Word Document;
一种基于Word文档的数字密写设计与实现
4) handwritten numerals
手写数字
1.
An algorithm of cursive handwritten numerals segmentation based on multi mould is proposed.
提出了一种基于模具的手写数字串切分算法 ,该算法通过总结手写数字串中字符之间的连接特点 ,归纳出一套合理的切分曲线类型 ,并根据这些曲线类型设计出多种切分模具 ,从而将字符的切分过程变为各种模具的试用和优选过程 。
2.
A knowledge-based recognition system of unconstrained handwritten numerals is proposed.
研究一种基于知识的无约束手写数字识别系统。
5) handwritten digit
手写数字
1.
At the same time, the exist difficult in handwritten digit recognition are pointed, and the possibility of solving the problems using NN technique is proved.
介绍了光学字符识别的几种方法以及神经网络的特点 ,神经网络技术能够解决传统OCR方法所不能解决的问题 ,同时指出了手写数字识别存在的困难 ,论证了利用神经网络技术解决这种困难的可能性。
2.
Results of testing the same sample set show that a good correctness rate of handwritten digit recognition is obtained by integration models.
研究手写数字多种智能识别方法的逻辑组合和加权统计综合模型。
6) numeric handprinting
数字手写
补充资料：陈写
1.陈述倾吐。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条