This
proposed work seeks to determine how a system for recognition of handwritten
digits would be implemented on a modern system. We will focus on the single
symbol off-line case of handwriting i.e. the input is a static image containing
one symbol. This research will discuss the different stages of a complete
recognition system to give an overview of the challenges faced. The limitation
is stated below:
The software used for the implementation of this research is MATLAB. MATLAB is used to implement the SURF algorithm and the Image and Classification toolboxes are used for reading the images and training the system respectively; it’s also used to design the interface and used to code other part of the program.
If you buy this mint (i.e source code) now, you will get lifetime mint updates for free.
- Only one symbol will be recognized at a time.
- The classifier will only handle binary data and suppose the images have been pre-processed.
- Handwriting is subject to high conflict in writing style between different authors. Factors contain size, rotation, lengthening and tilt or the equivalence of dissimilar fonts.
- To acquire handwritten digits image for all the digits from different people.
- To pre-process the entire images for image standardization.
- To extract features from the entire images.
- To develop a Network for digit recognition using SVMs with the extracted features.
The software used for the implementation of this research is MATLAB. MATLAB is used to implement the SURF algorithm and the Image and Classification toolboxes are used for reading the images and training the system respectively; it’s also used to design the interface and used to code other part of the program.
If you buy this mint (i.e source code) now, you will get lifetime mint updates for free.
What We offer:
Get final year project research topics. Browse free project topics and research material for final year students and researchers on Codemint. Start now.Talk to us right now: (+234)906-451-7926 (Call/WhatsApp)