Essays about: "Character recognition in natural images"

Showing result 1 - 5 of 9 essays containing the words Character recognition in natural images.

1. 1. Benchmarking Object Detection Algorithms for Optical Character Recognition of Odometer Mileage

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Mandus Hjelm; Eric Andersson; [2022]
   Keywords : Computer vision; machine learning; neural networks; object detection; optical character recognition; odometer; transfer learning;

   Abstract : Machine learning algorithms have had breakthroughs in many areas in the last decades. The hardest task, to solve with machine learning, was solving tasks that humans solve intuitively, e.g. understanding natural language or recognizing specific objects in images. READ MORE

3. 2. Training a Neural Network using Synthetically Generated Data

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Fredrik Diffner; Hovig Manjikian; [2020]
   Keywords : Synthetic data set; Generating synthetic data set; Machine learning; Deep Learning; Convolutional Neural Networks; Machine learning model; Character recognition in natural images; Char74k; ICDAR2003.; Syntetiskt dataset; Generera syntetiskt data; Maskininlärning; Maskininlärningsmodell; Djuplärning; Konvolutionära neurala nätverk; teckenigenkänning i bilder; Char74k; ICDAR2003;

   Abstract : A major challenge in training machine learning models is the gathering and labeling of a sufficiently large training data set. A common solution is the use of synthetically generated data set to expand or replace a real data set. READ MORE

4. 3. Evaluating synthetic training data for character recognition in natural images

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Hannes Sundin; Jakob Josefsson; [2020]
   Keywords : ;

   Abstract : This thesis is centered around character recognition in natural images. More specifically, evaluating the use of synthetic font images for training a Convolutional Neural Network (CNN), compared to natural training data. Training a CNN to recognize characters in natural images often demands a large amount of labeled data. READ MORE

5. 4. A comparison of OCR methods on natural images in different image domains

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Melvin Lundqvist; Agnes Forsberg; [2020]
   Keywords : ;

   Abstract : Optical character recognition (OCR) is a blanket term for methods that convert printed or handwritten text into machine-encoded text. As the digital world keeps growing the amount of digital images with text increases, and the need for OCR methods that can handle more than plain text documents as well. READ MORE

6. 5. Character Recognition in Natural Images Utilising TensorFlow

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Alexander Viklund; Emma Nimstad; [2017]
   Keywords : character recognition; natural images; TensorFlow; data augmentation; neural networks; Chars74K; convolutional; teckenigenkänning; naturliga bilder; TensorFlow; dataaugmentering; neurala nätverk; neuronnät; Chars74K;

   Abstract : Convolutional Neural Networks (CNNs) are commonly used for character recognition. They achieve the lowest error rates for popular datasets such as SVHN and MNIST. Usage of CNN is lacking in research about character classification in natural images regarding the whole English alphabet. READ MORE