CSE 661: Document Analysis and Recognition
Document Analysis and Recognition
Application of techniques of pattern recognition, image analysis and natural-language understanding to the task of automatic reading of text. Topics: Reading theories, segmentation of text, character and word recognition, string matching. Some examples of concentration areas: machine-printed document analysis, recognition of off-line (previously recorded) text on paper.
None presently available.
Ph.D.:
This course does not fulfill core area or core course requirements.
M.S.:
This course fulfills one Artificial Intelligence Core Area requirement.
CSE 572 and CSE 655, or permission of instructor.
Course Instances
| Semester | Section | Title | Instructor | Credit Hours | Enrolled |
|---|---|---|---|---|---|
| Fall 2004 | LEC | Document Anal And Recog | Dr. Venugopal (Venu) Govindaraju | 3 | 0/ 0 |
| Fall 2003 | LEC | Document Anal And Recog | Dr. Venugopal (Venu) Govindaraju | 3 | 8/30 |
| Spring 2003 | LEC | Document Anal And Recog | Dr. Venugopal (Venu) Govindaraju | 3 | 0/ 0 |
