KNN and ANN-based Recognition of Handwritten Pashto Letters using Zoning Features
This paper presents a recognition system for handwritten Pashto letters. However, handwritten character recognition is a challenging task. These letters not only differ in shape and style but also vary among individuals. The recognition becomes further daunting due to the lack of standard datasets for inscribed Pashto letters. In this work, we have designed a database of moderate size, which encompasses a total of 4488 images, stemming from 102 distinguishing samples for each of the 44 letters in Pashto. The recognition framework uses zoning feature extractor followed by K-Nearest Neighbour (KNN) and Neural Network (NN) classifiers for classifying individual letter. Based on the evaluation of the proposed system, an overall classification accuracy of approximately 70.05% is achieved by using KNN while 72% is achieved by using NN.
Code (0)
등록된 구현이 없습니다.
Tasks
General ClassificationSimilar Papers 제목 키워드 기반
Offline Handwritten MODI Character Recognition Using HU, Zernike Moments and Zoning
HOCR is abbreviated as Handwritten Optical Character Recognition. HOCR is a process of recognition of different handwritten characters from a digital image of documents. Handwritten automatic character recognition has at…
Optical Character RecognitionOptical Character Recognition (OCR)A New Approach in Persian Handwritten Letters Recognition Using Error Correcting Output Coding
Classification Ensemble, which uses the weighed polling of outputs, is the art of combining a set of basic classifiers for generating high-performance, robust and more stable results. This study aims to improve the resul…
Binary ClassificationClassificationfeature selectionGeneral ClassificationPreliminary experiments on automatic gender recognition based on online capital letters
In this paper we present some experiments to automatically classify online handwritten text based on capital letters. Although handwritten text is not as discriminative as face or voice, we still found some chance for ge…
Gender ClassificationA Sobel-Gradient MLP Baseline for Handwritten Character Recognition
We revisit the classical Sobel operator to ask a simple question: Are first-order edge maps sufficient to drive an all-dense multilayer perceptron (MLP) for handwritten character recognition (HCR), as an alternative to c…
LAIF: AI, Deep Learning for Germany Suetterlin Letter Recognition and Generation
One of the successful early implementation of deep learning AI technology was on letter recognition. With the recent breakthrough of artificial intelligence (AI) brings more solid technology for complex problems like han…
Deep LearningGenerative Adversarial Network