| 000 -LEADER |
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| fixed length control field |
01370nam a2200169Ia 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20200308073504.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
190927s9999 xx 000 0 und d |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
T Al792 2011 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Preferred name for the person |
Altejar, Rachelle M. |
| 245 #0 - TITLE STATEMENT |
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| Title |
Character recognition through LIP reading |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of Publication |
Cebu City |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of Publisher |
CIT-U |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Date of Publication |
2011 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
Every human being with vision uses lip reading to remove the perception of speech. Recognizing characters is being studied and thereby implemented by different researchers through different approaches. This paper describes a real time approach of recognizing characters based on lip-reading to provide an efficient way of communicating for hearing impaired people and to contribute another technique of character recognition. In this study, we first extract the speaker?s lip contours by HSLFiltering from Aforge together with Median filtering that will eliminate noise. A will then be drawn passing through the contour points through Cubic Spline Interpolation. Lips are extracted from the human face that will be captured using a web camera and consist of shape parameters which describe the lip boundary. The use of neural network called Back Propagation Model is implemented for letter recognition. This study limits only to recognizing vowel letters (A,E,I,O,U) using lip-reading. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
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| -- |
000-099 |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Item type |
RESERVED BOOKS |
| Source of classification or shelving scheme |
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