Music Recognition by Partial Template Matching
نویسندگان
چکیده
منابع مشابه
Object 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 کاملCharacter Recognition in Scene Images by Fast Deformable Template Matching
To recognize characters in scene images, a character segmentation method is generally required for pre-processing. However, there are problems that traditional methods are not able to segment “isolated character” which does not constitute a character string and “touching character” which is connected to other characters. Moreover, it is known that character images in scene images suffer from pe...
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 کاملAn Optical Notation Recognition System for Printed Music based on template matching and high level reasoning
In this paper we present a laboratory prototype that has been developed at the Institute for Language and Speech Processing (ILSP) for Optical Recognition of Printed Music in the framework of the MUSTUTOR project funded by the EC. The algorithms implemented proceed in three different stages and perform symbol recognition of the printed music image. The system also includes image scanning and fi...
متن کاملContext-Based Template Matching in Iris Recognition
In general iris recognition algorithms restrict to extracting distinct features out of preprocessed iris images in order to create user-specific iris-codes, neglecting potential improvements in matching procedures. In this work we propose a new way of matching iris-codes. By exploiting local information of extracted iris-codes a context-based matching is performed. The matching procedure is app...
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: The Journal of the Korea Contents Association
سال: 2008
ISSN: 1598-4877
DOI: 10.5392/jkca.2008.8.11.085