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Performance Evaluation of Real-time and Scale-invariant LoG Operators for Text Detection

Title: Performance Evaluation of Real-time and Scale-invariant LoG Operators for Text Detection
Authors: Nguyen, Dinh Cong; Delalandre, Mathieu; Conte, Donatello; Pham, The, Anh
Contributors: Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT); Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL); Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA); Hong Duc University
Source: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications ; 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2019) ; https://hal.science/hal-02285778 ; 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2019), Feb 2019, Prague, Czech Republic
Publisher Information: CCSD
Publication Year: 2019
Collection: Université François-Rabelais de Tours: HAL
Subject Terms: key-points; Text detection; LoG; blobs; DoG; real-time; estimators; repeatability; performance characterization; groundtruthing; stroke model; scale-space; fast Gaussian filtering; [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]; [SCCO.COMP]Cognitive science/Computer science; [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Subject Geographic: Prague; Czech Republic
Description: International audience ; This paper presents a state-of-the-art and a performance evaluation of real-time text detection methods, having particular focus on the family of Laplacian of Gaussian (LoG) operators with scale-invariance. The computational complexity of operators is discussed and an adaptation to text detection is obtained through the scale-space representation. In addition, a groundtruthing process and a characterization protocol are proposed, performance evaluation is driven with repeatability and processing time. The evaluation highlights a near-exact approximation with real-time operators at one to two orders of magnitude of execution time. The real-time operators are adapted to recent camera devices to process high resolution images. Perspectives are provided for operator robustness, optimization and characterization of the detection strategy.
Document Type: conference object
Language: English
Availability: https://hal.science/hal-02285778; https://hal.science/hal-02285778v1/document; https://hal.science/hal-02285778v1/file/2019VISAPP_Log.pdf
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.AE0C3FD6
Database: BASE