An Efficient Method for Handwritten Kannada Digit Recognition based on PCA and SVM Classifier
عنوان مقاله: An Efficient Method for Handwritten Kannada Digit Recognition based on PCA and SVM Classifier
شناسه ملی مقاله: JR_JIST-9-35_003
منتشر شده در در سال 1399
شناسه ملی مقاله: JR_JIST-9-35_003
منتشر شده در در سال 1399
مشخصات نویسندگان مقاله:
Ramesh G - University Visvesvaraya College of Engineering, Bengaluru, Karnataka, India
Prasanna G B - University Visvesvaraya College of Engineering, Bengaluru, Karnataka, India
Santosh V Bhat - University Visvesvaraya College of Engineering, Bengaluru, Karnataka, India
Chandrashekar Naik - University Visvesvaraya College of Engineering, Bengaluru, Karnataka, India
Champa H N - University Visvesvaraya College of Engineering, Bengaluru, Karnataka, India
خلاصه مقاله:
کلمات کلیدی:
Ramesh G - University Visvesvaraya College of Engineering, Bengaluru, Karnataka, India
Prasanna G B - University Visvesvaraya College of Engineering, Bengaluru, Karnataka, India
Santosh V Bhat - University Visvesvaraya College of Engineering, Bengaluru, Karnataka, India
Chandrashekar Naik - University Visvesvaraya College of Engineering, Bengaluru, Karnataka, India
Champa H N - University Visvesvaraya College of Engineering, Bengaluru, Karnataka, India
Computer Vision Dimensionality Reduction
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1886291/