Automated scanned receipt processing with optical character recognition and machine learning /
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
2022.
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| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/14443/ |
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| LEADER | 01453nam a2200361 i 4500 | ||
|---|---|---|---|
| 001 | u1157774 | ||
| 003 | SIRSI | ||
| 005 | 202209120920 | ||
| 008 | 220912s2022 my a m 000 0 eng | ||
| 040 | |a UMM |d AUM |e rda | ||
| 090 | |a QA76 |b UM 2022 Hor | ||
| 100 | 1 | |a Hor, Zhang Neng, |e author. | |
| 245 | 1 | 0 | |a Automated scanned receipt processing with optical character recognition and machine learning / |c Hor Zhang Neng. |
| 264 | 1 | |c 2022. | |
| 300 | |a xiv, 103 leaves : |b illustrations ; |c 30 cm | ||
| 336 | |a text |2 rdacontent | ||
| 336 | |a still image |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 337 | |a computer |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 338 | |a computer disc |2 rdacarrier | ||
| 502 | |b M.Comp.Sc. |c Jabatan Kepintaran Buatan, Fakulti Sains Komputer dan Teknologi Maklumat, Universiti Malaya |d 2022. | ||
| 504 | |a Bibliography: leaves 80-94. | ||
| 530 | |a Also issued in CD. | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Optical data processing. | |
| 650 | 0 | |a Deep learning (Machine learning) | |
| 710 | 2 | |a Universiti Malaya. |b Jabatan Kepintaran Buatan, |e degree granting institution. | |
| 856 | 4 | 1 | |u http://studentsrepo.um.edu.my/14443/ |
| 900 | |a FNM US | ||
| 596 | |a 1 25 | ||
| 999 | |a QA76 UM 2022 HOR |w LC |c 1 |i A517628102 |f 17/11/2022 |g 1 |l STACKS |m P01UTAMA |r Y |s Y |t TESIS |u 12/9/2022 |1 STEM | ||
| 999 | |a QA76 UM 2022 HOR |w LC |c 1 |i A517628093 |f 20/12/2022 |g 1 |l STACKS |m P25UMARCHI |r N |s Y |t CD |u 20/12/2022 |1 STEM |o .STAFF. MST-CD2073 | ||