Recognition of Handwritten Persian/Arabic Numerals Based on Robust Feature Set and K-NN Classifier
This paper has been withdrawn by the author due to a crucial sign error in equation 2 and some mistake in Table 1 information. please let me for changing this information and updating this paper.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognition
Recognizing handwritten digits is one of the most active research areas in computer vision, as there are a variety of applications, such as automatic identification of digits in bank checks and vehicle numbers. In the la…
Bayesian OptimizationComputational EfficiencyDimensionality ReductionHandwritten Digit RecognitionClassifiers fusion method to recognize handwritten persian numerals
Recognition of Persian handwritten characters has been considered as a significant field of research for the last few years under pattern analysing technique. In this paper, a new approach for robust handwritten Persian …
Capsule-Based Persian/Arabic Robust Handwritten Digit Recognition Using EM Routing
In this paper, the problem of handwritten digit recognition has been addressed. However, the underlying language is Persian/Arabic, and the system with which this task is a capsule network (CapsNet) has recently emerged …
Handwritten Digit RecognitionA Novel Transfer Learning Approach upon Hindi, Arabic, and Bangla Numerals using Convolutional Neural Networks
Increased accuracy in predictive models for handwritten character recognition will open up new frontiers for optical character recognition. Major drawbacks of predictive machine learning models are headed by the elongate…
Optical Character RecognitionOptical Character Recognition (OCR)Transfer LearningApplying Data Augmentation to Handwritten Arabic Numeral Recognition Using Deep Learning Neural Networks
Handwritten character recognition has been the center of research and a benchmark problem in the sector of pattern recognition and artificial intelligence, and it continues to be a challenging research topic. Due to its …
Data Augmentation