DIGITAL RECOGNITION
| Author(s) | : | Jill Kothari, Yash Mehta, Asst.Prof. Vatsal Shah |
| Institution | : | IT Department, Birla Vishvakarma Mahavidyalaya Engineering College |
| Published In | : | Vol. 1, Issue 11 — November 2014 |
| Page No. | : | 78-82 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Digital Recognition is a process in which one entity is differentiated from another on the basis of parameterslike Biometrics, Text, Image, Pattern, Handwriting, and Gesture. Biometrics is used in forensics and secured access.With growth in the needs for embedded computing, it is required that the speech recognition systems are available.Handwriting Recognition lists and clarifies the components that build related to technologies like OCR. Gesturerecognition enables humans to communicate with the machine and interact naturally. Pattern recognition is nearlysynonymous with machine learning. Patterns are learned from labeled "training" data, but when no labeled data areavailable other algorithms can be used to discover unknown patterns. OCR is the electronic conversion of scannedimages of typewritten or printed text into computer-readable text. It is a method of digitizing printed texts so that theycan be electronically edited, searched, stored more compactly, displayed on-line, and used in machine.
Jill Kothari, Yash Mehta, Asst.Prof. Vatsal Shah, “DIGITAL RECOGNITION”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 11, pp. 78-82, November 2014.
