SCENE TEXT RECOGNITION IN MOBILE APPLICATIONS BY CHARACTER DESCRIPTOR AND STRUCTURE CONFIGURATION

Sathish Kumar Penchala, Pallavi S.Umap

Abstract: Camera-based scene images usually have complex background filled with non-text objects in multiple shapes and colors. The existing system is sensitive to font scale changes and background interference. The main focusof this system is on two character recognition methods. In text detection, previously proposed algorithms are used to search for regions of text strings. Proposed system uses character descriptor which is effective to extract representative and discriminative text features for both recognition schemes. The local features descriptor HOG is compatible with all above key point detectors. Our method of scene text recognition from detected text regions is compatible with the application of mobile devices. Proposedsystem accurately extracts text from natural scene image in presence of background interference.The demo system gives us details of algorithm design and performance improvements of scene text extraction. It is ableto detect text region of text strings from cluttered and recognize characters in the text regions.

Keywords: Scene text detection, scene text recognition, character descriptor, stroke configuration, text understanding, text retrieval.

DOI: https://doi.org/10.15623/ijret.2015.0402043