Title of article :
KAFD Arabic font database
Author/Authors :
Luqman، نويسنده , , Hamzah and Mahmoud، نويسنده , , Sabri A. and Awaida، نويسنده , , Sameh، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Abstract :
Font recognition is useful for improving optical text recognition systems’ accuracy and time, and to restore the documents’ original formats. This paper addresses a need for Arabic font recognition research by introducing an Arabic font recognition database consisting of 40 fonts, 10 sizes (ranging from 8 to 24 points) and 4 styles (viz. normal, bold, italic, and bold–italic). The database is split into three sets (viz. training, validation, and testing). The database is freely available to researchers.11
ponding author may be contacted to get access to the database.
ver, we introduce a baseline font recognition system for benchmarking purposes, and report identification rates on our KAFD database and the Arabic Printed Text Image (APTI) database with 20 and 10 fonts, respectively. The best recognition rates are achieved using log-Gabor filters.
Keywords :
Arabic font database , Arabic font recognition , Classification , feature extraction , Log-Gabor filters
Journal title :
PATTERN RECOGNITION
Journal title :
PATTERN RECOGNITION