stroke feature
英 [strəʊk ˈfiːtʃə(r)]
美 [stroʊk ˈfiːtʃər]
网络 笔形
双语例句
- On-Line Handwritten Chinese Character Recognition Research Based on Stroke and Directional Feature
基于笔段特征与方向特征的联机手写汉字识别研究 - First, proposing a novel feature extraction method& Stroke Run-length Direction Feature, and then combining the Kirsch Mask Feature to improve recognition performance.
提出了一种新的特征提取方法&笔画方向游程特征并结合了KirschMask等特征以提高识别率。 - Most of all, proposed a stroke extraction method based on direction weight for left-falling stroke and right-falling stroke in stroke feature extraction.
在对笔划撇、捺提取中提出了一种基于方向加权的笔划提取方法。 - In this paper it is presented to acquire acceleration information of handwriting, to get basic stroke information of start point, end point and trace, and to create dynamic feature model of strokes.
本文目的是通过采集书写过程中笔杆的加速度等动态特征，得出笔画书写的起始点、终止点和笔画轨迹等笔画的基本信息，建立笔画动态特征模型。 - Chinese characters are based on strokes unlike western characters based on letters, so stroke feature study is the key of dynamic features of Chinese characters handwriting study.
汉字是以笔画而不是字母作为基本元素的一种文字，研究汉字书写动态特征必须从笔画入手。 - The differences of image based statistical feature extraction method and the skeleton image based structural feature extraction technique are developed. Two kinds of effective feature, i.e., the key point distance feature and the stroke curvature feature, are suggested.
基于差图像的成分统计特征抽取方法，发展了骨架图像的结构特征抽取方法，提出了特征点距离特征和笔划曲率特征两种新的有效特征。 - According to stroke distributing characterisitic and topologic correlation of chinese characters, we present a new method based on elastic mesh and related fuzzy feature.
根据汉字笔画分布特点及拓扑结构的相关性，提出了一种新的基于弹性网格及其相关模糊特征的提取方法。 - A new kind method of Cross Recognition is proposed using the direction feature of real and false stroke segment, combine the static feature and dynamic feature.
本系统的粗分方法就以该种特征为基础，并结合了统计粗分方法进行匹配识别，有效的结合了汉字的动态和静态特征。 - Weight Polar Direction Stroke Density Feature in Character Recognition
字符识别中的加权极向笔道密度特征 - Abstract This paper introduces an approach to derive curve-outline Chinese character which is based on stroke feature, and describes the design and implementation of a Song Ti typeface deriving system on micro-computer.
本文介绍了基于笔划特征的轮廓汉字字形衍生方法，并叙述了宋体轮廓汉字衍生系统在微型计算机上的设计与实现。 - Methods: The present situation and prospect of the objective research in syndrome of deficiency of qi and blood stasis in ischemic stroke ( IS) is summarized by inquiring the four methods of diagnosis 、 laboratory examination 、 imageology feature and animal mode.
方法：从四诊诊断、理化微观指标、影像学特点、动物模型等面，对缺血性中风气虚血瘀证客观化研究现状进行了综述。 - OBJECTIVE: To discuss hemiplegic gait, which is one of the main sequela in stroke patients, and the feature of motor control, so as to provide evidence for establishing measures of prevention and rehabilitation.
目的：探讨脑卒中患者的主要后遗症之一偏瘫步态及其运动控制特点，为制定预防及康复措施提供依据。 - A Directional stroke Tracing and Feature Extraction Method for recognizing Restrictive Handprinting of Chinese Characters
限制性手写体汉字识别中的笔划跟踪及特征抽取 - The fuzzy division of the character lattice image can overcome the stroke position influence to the feature extraction.
通过对字符点阵图像的模糊划分，克服笔画位置对特征抽取的影响； - Considering the former methods of character exaction, we give prominence to the stroke location, run length and amount feature of character, and recognize the character based on it.
克服以往字符特征提取中同时将噪声、偏移等冗余信息考虑在内的缺点，以认知的角度突出最能反映字符的笔划数量、位置，游程等特征，有效的进行以认知分类为基础的字符识别。 - Image acquisition includes collection and storage; pretreatment section includes gray image, binary, text segmentation and normalization which is divided into size normalization and stroke width normalization; identification part divided into feature extraction and pattern recognition.
其中图像采集部分包括采集和存储；预处理部分包括有图像灰度化、二值化、文字切分和归一化，归一化又分为大小归一化和笔画宽度归一化；识别部分包括特征提取和模式识别。 - This combination scheme is applied to stroke recognition of online graphics. Three single stroke classifiers are combined. Each of these stroke classifiers has separate feature set and different classifying mechanism.
将这种方法应用于联机几何图形识别问题，联合了三种分类器，每种分类器的机制各不相同，并且都基于不同的模式特征。 - Extract four-side stroke density feature from the character image and use RBF ( Radial basis function) neural network as the classifier in coarse classification.
提取汉字的四边笔画密度特征，采用RBF（Radialbasisfunction）神经网络对手写汉字进行粗分类。 - As full consideration of the multi-peak distribution of character stroke width and direction, the wavelet parameters is optimized. And thus, a high robustness feature of Chinese characters is obtained.
由于充分考虑了汉字笔划宽度和方向的多峰值分布，优化了小波变换参数，从而获得一种高鲁棒性的汉字特征。 - This paper selects mesh feature, peripheral feature and local stroke density feature as classification features.
选择了粗网格特征，粗外围特征和局部笔划方向密度特征作为分类特征。 - Then, arithmetic for extracting structural features under nine grids was studied and designed from aspects of closed hole, branch point, and stroke; and so was feature recognizer with the digit having maximum accumulated weights as its ouput.
通过对数字封闭孔、分支点、笔画的分析，设计了基于九格分区的结构特征提取算法及以具有最大积累权值的数字为输出结果的特征识别器，实现了数字图像的特征提取与识别。