TY  - JOUR
T1  - Text Detection and Recognition Using Stroke Width Transform (SWT)
AU - Anila, S. AU - Devarajan, N. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 21
SP  - 4318
EP  - 4324
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.4318.4324
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.4318.4324
KW  - Component
KW  -formatting
KW  -insert
KW  -style
KW  -styling
AB  - A technique is proposed to detect and recognize the texts. Localizing and reading text in uncontrolled environments remain extremely challenging, due to various interference factors. An integrated framework for text detection and recognition of varying natural images such as in vision applications, for instance, image understanding, image indexing, video search, geolocation and automatic navigation is proposed. The technique involves: Text detection and recognition using texts of varying orientation with dictionary search. Thus in this proposed system, a novel image database with text of different scales s colors, orientations is designed which can be detected and recognized synchronously. Low quality noisy images can also be included in the database.
ER  -