A Real-World Approach on the Problem of Chart Recognition Using Classification, Detection and Perspective Correction.
Tiago AraújoPaulo ChagasJoão Bernardo AlvesCarlos G. R. SantosBeatriz Sousa SantosBianchi Serique MeiguinsPublished in: Sensors (2020)
Keyphrases
- real world
- classification accuracy
- automatic detection
- classification scheme
- detection algorithm
- classification systems
- data mining
- machine learning
- robust detection
- decision trees
- feature extraction
- pattern recognition
- false positives
- feature extraction and classification
- automatic classification
- synthetic data
- feature vectors
- training samples
- text localization and recognition
- neyman pearson
- case study
- classification rate
- false alarms
- pattern classification
- classification rules
- classification method
- classification algorithm
- support vector machine
- classification models
- error correction
- support vector
- training data
- classification process
- spam detection
- supervised learning
- feature selection
- support vector machine classifier
- text classification
- support vector machine svm