مشاهده مشخصات مقاله
Evolutionary Design of Gabor Filters with Application to Writer Identification
|
نویسنده (ها) |
|
|
مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
|
چکیده |
Previous studies have shown the advantages of Gabor filters for the purpose of writer identification. Current
study attempts to show that designing a set of such filters is domain specific however tuning of their parameters
is not an easy task. Here we use genetic algorithms as a systematic approach to search in the space of filter
parameters to choose a set of best filters for the problem of offline writer identification based on handwriting.
Specifically, each chromosome encodes the parameters of filters and then during an evolutionary process those
filters which show the best classification performance are selected. Identification was performed using two
different classifiers: weighted Euclidean distance (WED) and nearest neighbor classifier (KNN). Our results
show the superiority of proposed method compared with traditional Gabor filters and Gray Scale Co-occurrence
matrices (GSCM). |
|
قیمت |
-
برای اعضای سایت : ۱٠٠,٠٠٠ ریال
-
برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
-
برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
|
خرید مقاله
|
|
.gif){kind=icon}