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Automatic Detection and Recognition of Text-Based Traffic Signs from Images
(Ieee-inst Electrical Electronics Engineers Inc, 2018-12-01)
Detection and recognition of texts in traffic signs has been widely studied and with the advance in image capture technology has helped to improve or to create new methods to achieve this issue. In this work, we presented ...
Improving deaf people accessibility and communication through automatic sign language recognition using novel technologies
(2016)
Communication is a key for human development. Nevertheless, deaf
people have difficulty interacting with hearing and hard of hearing people. On the
other hand, new technology allows gesture recognition. This work aims ...
Improving deaf people accessibility and communication through automatic sign language recognition using novel technologies
(2016)
Communication is a key for human development. Nevertheless, deaf
people have difficulty interacting with hearing and hard of hearing people. On the
other hand, new technology allows gesture recognition. This work aims ...
Adaptative techniques for the human faces detection
(2004-11-23)
This paper presents results from an efficient approach to an automatic detection and extraction of human faces from images with any color, texture or objects in background, that consist in find isosceles triangles formed ...
Adaptative techniques for the human faces detection
(2004-11-23)
This paper presents results from an efficient approach to an automatic detection and extraction of human faces from images with any color, texture or objects in background, that consist in find isosceles triangles formed ...
Automatic character recognition based on graph theory: a new approach to automation
(ECSTenerife, Spain, 2011)
The aim of this paper is to present a new method Optical Character
Recognition (OCR).
For it will be used for projections of images and the technique of
Dijkstra's shortest path in graph-based structures can To validate ...
Precipitates segmentation from scanning electron microscope images through machine learning techniques
(2011-06-02)
The presence of precipitates in metallic materials affects its durability, resistance and mechanical properties. Hence, its automatic identification by image processing and machine learning techniques may lead to reliable ...
Automatic speech-to-text transcription in an ecuadorian radio broadcast context
(SPRINGER VERLAG, 2017-09-19)
A key element to enable the analysis and accessing to radio broadcast content is the development of automatic speech-to-text systems. The building of these systems has been possible given the current available of different ...