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Segmentation and Recognition of Handwritten Kannada Text Using Relevance Feedback and Histogram of Oriented Gradients – A Novel Approach

机译：基于相关反馈和方向梯度直方图的手写卡纳达语文本分割与识别 - 一种新方法

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Karthik S; Srikanta Murthy K;
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年度 2016
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1. Deep Belief Network Based Approach To Recognize Handwritten Kannada Characters Using Histogram Of Oriented Gradients And Raw Pixel Features [J] . Karthik S., Srikanta Murthy K. International Journal of Applied Engineering Research . 2016,第5aPta7期

机译：基于深度信念网络的基于定向梯度直方图和原始像素特征的手写卡纳达语字符识别方法
2. Arabic/Farsi Handwritten Digit Recognition using Histogram of Oriented Gradient and Chain Code Histogram [J] . Khorashadizadeh Seyyed, Latif Ali The international arab journal of information technology . 2016,第4期

机译：定向梯度直方图和链码直方图的阿拉伯语/波斯语手写数字识别
3. Recognition of Handwritten Arabic Characters using Histograms of Oriented Gradient (HOG) [J] . Noor A. Jebril, Hussein R. Al-Zoubi, Qasem Abu Al-Haija Pattern recognition and image analysis: advances in mathematical theory and applications in the USSR . 2018,第2期

机译：使用定向梯度直方图的手写阿拉伯语字符（HOG）
4. Bangla handwritten characters recognition by using distance-based segmentation and histogram oriented gradients [C] . Nazmul Arefin, Mahamodul Hassan, Md. Khaliluzzaman, IEEE Region 10 Humanitarian Technology Conference . 2017

机译：通过基于距离的分割和直方图梯度对孟加拉手写字符进行识别
5. IMAGE SEGMENTATION WITH LOCAL FEEDBACK AT LOW- AND HIGH-LEVEL PROCESSING (COMPUTER VISION, CONTOUR EXTRACTION, REGION GROWING, HANDWRITTEN NUMERAL RECOGNITION). [D] . CHEN, BOR-DONG. 1985

机译：在低水平和高水平处理（计算机视觉，轮廓提取，区域增长，手写数字识别）中具有局部反馈的图像分段。
6. Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sequences [O] . Chirag I. Patel, Dileep Labana, Sharnil Pandya, 2020

机译：基于面向梯度的特征融合的直方图用于行动视频序列中的人体行动识别
7. Histogram of Oriented Gradients Based Off-Line Handwritten Devanagari Characters Recognition Using SVM, K-NN and NN Classifiers [O] . Shalaka Deore, Albert Pravin 2019

机译：基于面向梯度的直线手写手写vanagari字符识别使用SVM，K-NN和NN分类器

Segmentation and Recognition of Handwritten Kannada Text Using Relevance Feedback and Histogram of Oriented Gradients – A Novel Approach

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