Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/67785
Title: OCR: Análisis e implementación de algoritmos en nuevas tecnologías de paralelización
Author: Sandín Carral, Gustavo Alejandro
Director: Amorós Huguet, Oscar
Keywords: Processament en paral·lel (Ordinadors)
Reconeixement òptic de formes
Programari
Tesis
Algorismes computacionals
Parallel processing (Electronic computers)
Optical pattern recognition
Computer software
Theses
Computer algorithms
Issue Date: 27-Jun-2015
Abstract: In recent years it has emerged the need to analyze a lot of data. There is not only the need to analyze a lot of data, but also the calculations are getting more complex (weather simulations, cryptography or bioinformatics). These facts lead to a huge need for computing capacity. To face this problem, one of the most extended techniques is parallel computing. This technique requires a process of adaptation or modification of the traditional codes, which are executed serially. This transformation is called “parallelization”. The central axis of this project is “Parallelization”. It shows the efficiency of “parallelization” in the field of artificial vision, which requires a lot of data processing. Specifically, we will analyze the parallelism to speed Optical Character Recognition (OCR). We will see the effectiveness of "parallelization" on new technologies such as Smartphones and Single-Board computer (SBC). The algorithm used to implement OCR in this project is KNN (K-Nearest Neighbors). Furthermore, and analysis of parallelization of the SVM (Support Vector Machine) algorithm has been done. The KNN algorithm is going to be parallelize and its performance will be analyzed in the aforementioned platforms. Finally, the efficiency of parallelization is measured comparing execution times and power consumption, between parallel versions and their corresponding serially versions.
Note: Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2015, Director: Oscar Amorós Huguet
URI: http://hdl.handle.net/2445/67785
Appears in Collections:Programari - Treballs de l'alumnat
Treballs Finals de Grau (TFG) - Enginyeria Informàtica

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