Essays about: "sign recognition"

Showing result 21 - 25 of 41 essays containing the words sign recognition.

1. 21. Application of the German Traffic Sign Recognition Benchmark on the VGG16 network using transfer learning and bottleneck features in Keras

   University essay from Uppsala universitet/Datalogi; Uppsala universitet/Institutionen för teknikvetenskaper

   Author : Siri Persson; [2018]
   Keywords : deep learning; image classification; Keras; neural network; transfer learning;

   Abstract : Convolutional Neural Networks (CNNs) are successful tools in image classification. CNNs are inspired by the animal visual cortex using a similar connectivity pattern as between neurons. READ MORE

3. 22. Highly-Educated Immigrants in Sweden

   University essay from Lunds universitet/Företagsekonomiska institutionen

   Author : Yazeed Al-Atassi; Ismail Alebiary; [2017]
   Keywords : Swedish job market; Syrian immigrants; highly-educated immigrants; employment of immigrants; Swedish Public Employment Service; Arbetsförmedlingen; Business and Economics;

   Abstract : Purpose: The purpose of this thesis is to provide the reader with insights regarding what Syrian highly-educated immigrants (HEI) in Sweden think are the underlying prerequisites and actions needed to facilitate their entrance into the Swedish job market. Key Research Question: What are the key requirements needed to expedite the employment of HEI in the Swedish job market, and take up relevant jobs within the scope of their studies, as perceived by Syrian HEI? Methodology: Using a mixed-method to collect quantitative and qualitative data from Syrian HEI by using: 1) a survey and 2) a series of semi-structured interviews. READ MORE

4. 23. On the Construction of an Automatic Traffic Sign Recognition System

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Fredrik Jonsson; [2017]
   Keywords : traffic sign recognition; object detection; image classification; mixture models; Gibbs sampling;

   Abstract : This thesis proposes an automatic road sign recognition system, including all steps from the initial detection of road signs from a digital image to the final recognition step that determines the class of the sign. We develop a Bayesian approach for image segmentation in the detection step using colour information in the HSV (Hue, Saturation and Value) colour space. READ MORE

5. 24. A shoulder-surfing resistant graphical password system

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Elias Alesand; Hanna Sterneling; [2017]
   Keywords : shoulder-surfing; resistant; graphical password system; guessing attacks; graphical passwords; recognition-based; recall-based; pure recall-based; password; security; password space; pictorial superiority effect; brute-force attack; dictionary attack; hot-spots; memorability; graphical components; authentication;

   Abstract : The focus of this report is to discuss graphical password systems and how they can contribute to handle security problems that threaten authentication processes. One such threat is shoulder-surfing attacks, which are also reviewed in this report. READ MORE

6. 25. Swedish Sign Language Skills Training and Assessment

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

   Author : Dani Potrus; [2017]
   Keywords : Sign language; Sign language recognition; Video game; Efficiency; Sign language assessment; Experimental design; Statistical testing; Statistical evaluation; Teckenspråk; Igenkänning av Svenskt teckenspråk; Teckenspråks tv spel; Effektivitet; Teckenspråklig bedömning; Experimentell design; Statistisk testning; Statistisk utvärdering;

   Abstract : Sign language is used widely around the world as a first language for those that are unable to use spoken language and by groups of people that have a disability which precludes them from using spoken language (such as a hearing impairment). The importance of effective learning of sign language and its applications in modern computer science has grown widely in the modern aged society and research around sign language recognition has sprouted in many different directions, some examples using hidden markov models (HMMs) to train models to recognize different sign language patterns (Swedish sign language, American sign language, Korean sign language, German sign language and so on). READ MORE