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Kumar, K. Senthil
- Shape Matching and Alphanumeric Recogination for Vehicle Identification
Authors
Source
Biometrics and Bioinformatics, Vol 8, No 5 (2016), Pagination: 113-119Abstract
Object recognition is the challenging problem in the real world application. Object recognition can be achieved through the shape matching. Shape matching is preceded by detecting the edges of the objects from the images, finding the correspondence between the shapes, measuring the dissimilarity between the shapes using the correspondence and classifying the object into classes by using this dissimilarity measures.
In this system we present a full-featured license plate detection and recognition system. The system is implemented on an embedded DIP platform and processes an Image in real-time. It consists of detection and a character recognition module. Detected license plates are segmented into individual characters by using a syntactic approach.
Character classification is performed with support dissimilarity measures. The major advantages of our system are its real-time capability and that it does not require any additional sensor input (e.g. from infrared sensors) except image.
- Shape Matching and Hand Written Digit Identification Using Minkowski Distance
Authors
1 Tamilnadu College of Engineering, Coimbatore, IN
Source
Biometrics and Bioinformatics, Vol 9, No 6 (2017), Pagination: 116-118Abstract
Hand written digit recognition is challenging problem in real world application. The digits can be identified by its shape. The shape of the digit from the image is taken as the feature. The shape matching can be achieved by the distance between the reference and test shape. The distance is considered as the error between the test and error shape. By using this error, the images are classified into the digits. The normal NN-classifier is used in our system. Our proposed method is applied to MNIST hand written digit database. The algorithm developed using MATLAB and results were obtained.Keywords
Digit Recognition, MNIST Data Base.References
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