Open AccessComparative Study on Text Detection and Recognition from Traffic Image
Author(s) -
Asit Kumar,
Sumit Kumar
Publication year - 2016
Publication title -
smart moves journal ijoscience
Language(s) - English
Resource type - Journals
ISSN - 2582-4600
DOI - 10.24113/ijoscience.v2i9.114
Subject(s) - text detection , computer science , artificial intelligence , orientation (vector space) , pattern recognition (psychology) , image (mathematics) , text recognition , edge detection , artificial neural network , wavelet , enhanced data rates for gsm evolution , texture (cosmology) , connected component labeling , feature extraction , computer vision , image processing , image segmentation , mathematics , geometry , scale space segmentation
Text plays an significant role in day-to-day life because of its dissimilarities in text size, font, style, orientation and alignment as well as composite background and rich information, as a consequence automatic text detection in natural scenes has several attractive applications. Though, detecting and recognizing such text is all the time a challenging issue. Several text extraction techniques grounded on edge detection, connected component analysis, morphological operators, wavelet transform, texture features, neural network etc. have been established. This paper contributes comparative analysis of different technique which provides efficient performance.