Doctor's cursive handwriting recognition system using deep learning / Lovely Joy M. Fajardo, Nino Joshua A. Sorillo, Cia Dennise V. Tomines and Jaycel R. Garlit
Material type:
- UGT CCIT BSCS .F35 2019

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|---|
![]() |
National University - Manila | LRC - Main Thesis | Computer Science | UGT CCIT BSCS .F35 2019 c.1 (Browse shelf(Opens below)) | c.1 | Available | UGTHE000002269 |
Includes bibliographical references.
Chapter 1. Introduction -- Chapter 2. Related Literature Theoretical Background -- Chapter 3. Design and Methodology -- Chapter 4. Results and discussion -- Chapter 5. Conclusion and recommendations.
Handwriting is a skill to express thoughts, ideas and language. Over the years, medical doctores have been well-known for having illegible cursive handwritings and has been a generally accepted matter.
There are no comments on this title.