Kishor et al., 2023 - Google Patents

Develop model for recognition of handwritten equation using machine learning

Kishor et al., 2023

View PDF
Document ID
14786026182785712236
Author
Kishor K
Tyagi R
Bhati R
Rai B
Publication year
Publication venue
Proceedings of International Conference on Recent Trends in Computing: ICRTC 2022

External Links

Snippet

The problems that stand with the existing solution of handwritten equation recognizer have numerous problems such as not being purely based on ML and thus unable to occupy dominance of the large processing capacity of the machines that stand in this scenario and …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/21Text processing
    • G06F17/22Manipulating or registering by use of codes, e.g. in sequence of text characters
    • G06F17/2247Tree structured documents; Markup, e.g. Standard Generalized Markup Language [SGML], Document Type Definition [DTD]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/21Text processing
    • G06F17/24Editing, e.g. insert/delete
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2705Parsing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for programme control, e.g. control unit
    • G06F9/06Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education

Similar Documents

Publication Publication Date Title
CN110232689B (en) Semantic categories localize digital environments
Shanmugamani Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
Kishor et al. Develop model for recognition of handwritten equation using machine learning
WO2021082953A1 (en) Machine reading understanding method and apparatus, storage medium, and device
Wu et al. GINet: Graph interaction network for scene parsing
CN113159013B (en) Paragraph identification method, device, computer equipment and medium based on machine learning
Halvardsson et al. Interpretation of swedish sign language using convolutional neural networks and transfer learning
CN116029273A (en) Text processing method, device, computer equipment and storage medium
Chinthaginjala et al. Enhancing handwritten text recognition accuracy with gated mechanisms
CN117035019A (en) A data processing method and related equipment
CN117520815A (en) Multimodal-based information extraction methods, devices, equipment and storage media
CN115481609B (en) Methods, devices, equipment and media for predicting the persuasiveness of user posts in online forums
Li et al. Graph-based vision transformer with sparsity for training on small datasets from scratch
Sophia et al. Beyond chat-GPT: a BERT-AO approach to custom question answering system
CN114036903A (en) Grading card model implementation method, device, equipment and readable storage medium
Rodrigues et al. From Constricted Models to State-of-the-Art for Facial Expression Classification
CN115952295B (en) Image-based entity relationship annotation model processing method and related equipment
CN117312508A (en) Image-based question and answer method, device, equipment, storage medium and program product
Zhuo et al. A novel data augmentation method for Chinese character spatial structure recognition by normalized deformable convolutional networks
Julian Deep learning with pytorch quick start guide: learn to train and deploy neural network models in Python
Tsiramua et al. Analyzing image patterns and generating text: Advances in multilingual vision-language transformers
Joseph et al. Explainable real-time sign language to text translation
Hussain et al. Quantum-Inspired Fermionic Operator Representation for Interpreting Human Cognition Through Smile Classification
Uysal et al. Gender, age, and ethnicity estimation by image processing
Hamdan et al. Enhancing Facial Emotion Recognition Accuracy Through Face Landmark Detection