(PDF) An Overview of Hand-Drawn Diagram Recognition
Jan 1, 2024 · This research study comprehensively reviews hand-drawn diagram recognition (HDDR) techniques, emphasizing their importance and usefulness in numerous sectors.
traditional photographic image classification. First, sketches are less visually complex than photographs. Whereas color photographs have three color channels per pixel, sketches are encoded as either black-and-white or grayscale. Photographs contain visual information through-out the image whereas sketches consist primarily of blank space.
Hand-drawn sketch recognition with a double-channel …
Aug 21, 2021 · In hand-drawn sketch recognition, the traditional deep learning method has the problems of insufficient feature extraction and low recognition rate. To solve this problem, a new algorithm based on a dual-channel convolutional neural network is proposed.
Multi-Domain Recognition of Hand-Drawn Diagrams Using
Aug 14, 2020 · This paper presents an approach for the recognition of multi-domain hand-drawn diagrams, which exploits Sketch Grammars (SkGs) to model the symbols’ shape and the abstract syntax of diagrammatic notations.
Classification and Evaluation of Free-Hand Sketches Using Image ...
Due to the complex structure of images, we need to extract important features in the image, unlike traditional text grading methods. The major focus of this research work is mostly on the freehand sketch phase, therefore developing a CNN model, that can classify and assign a grade to a given image automatically.
To improve the recognition rate of a hand-drawn sketch, Lei Zhang (2021) founded a hand-drawn sketch recognition algorithm based on a dual-channel convolutional neural network. The input image is first smoothed, and the contour features are extracted from it. These features are then provided to CNN.
In [2], the authors propose a method for online recognition of hand drawn UML diagrams. The system takes input from electronic devices and diagnoses pen strokes (hand movements) into UML elements -- the features being detected based on the movements. The
Sketch recognition is the automated recognition of object diagrams, by a computer. It focuses on matching the sketches of the objects with the image database present. Based on the result obtained we classify them and retrieve the appropriate images.
A Novel Algorithm to Classify Hand Drawn Sketches with
Sep 29, 2020 · In this paper, the methodology of a novel algorithm called Counting Key-Points algorithm (CKP) is presented. The algorithm can be used during classification of same type of hand drawn sketches, where content quality is important.
Testing strength of the state-of-art image classification methods …
In this paper, we tested the classification accuracy of hand drawn sketches with SVM and ANN, without using image feature extraction algorithms and compared the results with the findings of a number of important state-of-art researches.