Document Image Analysis [electronic resource] : Current Trends and Challenges in Graphics Recognition / by K.C. Santosh.

Por: Santosh, K.C [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoEditor: Singapore : Springer Singapore : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: XX, 174 p. 70 illus., 46 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789811323393Tema(s): Pattern recognition | Optical data processing | Computer graphics | Pattern Recognition | Image Processing and Computer Vision | Computer GraphicsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.4 Clasificación LoC:Q337.5TK7882.P3Recursos en línea: Libro electrónicoTexto
Contenidos:
Chapter 1. Document Image Processing: Graphics Recognition -- Chapter 2. Graphical Symbol Recognition Systems, Applications and Validation -- Chapter 3. Statistical Approaches -- Chapter 4. Structural and Syntactic Approaches -- Chapter 5. Hybrid Approaches -- Chapter 6. Challenges.
En: Springer Nature eBookResumen: The book focuses on one of the key issues in document image processing - graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined. The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.
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Chapter 1. Document Image Processing: Graphics Recognition -- Chapter 2. Graphical Symbol Recognition Systems, Applications and Validation -- Chapter 3. Statistical Approaches -- Chapter 4. Structural and Syntactic Approaches -- Chapter 5. Hybrid Approaches -- Chapter 6. Challenges.

The book focuses on one of the key issues in document image processing - graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined. The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.

UABC ; Temporal ; 01/01/2021-12/31/2023.

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