DIGITAL RECOGNITION
Keywords:
Digital Recognition, TTS, STT, OCR, Biometrics, Gesture, Pattern, RecognitionAbstract
Digital Recognition is a process in which one entity is differentiated from another on the basis of parameters
like 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. Gesture
recognition enables humans to communicate with the machine and interact naturally. Pattern recognition is nearly
synonymous with machine learning. Patterns are learned from labeled "training" data, but when no labeled data are
available other algorithms can be used to discover unknown patterns. OCR is the electronic conversion of scanned
images of typewritten or printed text into computer-readable text. It is a method of digitizing printed texts so that they
can be electronically edited, searched, stored more compactly, displayed on-line, and used in machine.
