Bangla Digital Number Plate Recognition using Template Matching for Higher Accuracy and Less Time Complexity
نویسندگان
چکیده
منابع مشابه
Number Plate Extraction using Template Matching Technique
As an application of CCTV Traffic surveillance, retrieval of the number plate from the vehicles is an important dimension, which demands intelligent solution. In this document, template matching block of computer vision toolbox has been used to extract the vehicle number plate. It is assumed that images of the vehicle have been captured at a particular resolution and orientation. It is also ass...
متن کاملObject Recognition using Template Matching
Object Recognition is inherently a hard problem in computer vision. Current standard object recognition techniques require small training data sets of images and apply sophisticated algorithms. These methods tend to perform poorly because the small data set does not reflect the true distribution (selection bias). Recently, Torralba et al [1] have proposed to develop a large data set of images (...
متن کاملthe effects of time planning and task complexity on accuracy of narrative task performance
هدف اصلی این تحقیق بررسی تاثیر برنامه ریزی زمانی، هم چنین افزایش میزان پیچیدگی تکالیف در نظر گرفته شده بصورت همزمان، بر دقت و صحت و پیچیدگی عملکرد نوشتاری زبان آموزان می باشد. بدین منظور، 50 نفر از دانش آموزان دختر در رده ی سنی 16 الی 18 سال به عنوان شرکت کنندگان در این زمینه ی تحقیق در نظر گرفته شدند و به دو گروه آزمایشی و کنترل بصورت اتفاقی تقسیم شدند. اعضای گروه آزمایشی هر دو تکلیف ساده و پی...
Automatic License Plate Recognition For Ambigious Character Using Template Matching With Fuzzy Classifiers
Automatic license plate recognition (ALPR) is the extraction of vehicle license plate information from an image or a sequence of images. The extracted information can be used with or without a database in many applications, such as electronic payment systems (toll payment, parking fee payment), and freeway and arterial monitoring systems for traffic surveillance. The illuminated images are bett...
متن کاملHandwritten Character Recognition using Template Matching
This paper is aimed at the recognition of handwritten characters of any arbitrary size and shape. A novel template based matching scheme is employed which resulted in high matching efficiency while maintaining a low sample size for training. As the number of samples used for training is very low, the templates can be easily modified and thus this system can be simply modified to an adaptive sys...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2018
ISSN: 0975-8887
DOI: 10.5120/ijca2018918140