Biometrics plays a vital role in the object identification, mainly for human recognition
and detection for security purpose. In the current, biometric human recognition scenario,
novel ideas are evolving to solve the errors in face and ear recognition system.
Lot of techniques and systems are blooming to overcome the problems present in the
face and ear recognition. New techniques are proposed in this work to identify people
and the notable objectives are to recognise persons face, ear image perfectly, depends
on their pose, size varied images, and to detect the face picture present in an image.
Identifying a persons face is the basic job, in the practical situation several parameters
includes image size, resolution, pose variation and several atmospheric disturbances
like dust, rain, sweat etc are affecting the recognition system.
To protect a persons personal data or to authenticate a person, his/her Name, Password,
and PIN (etc) are used. Chances are there to duplicate, copy, the data and reuse
it, without the person knowledge. So it is necessary to change password frequently. But
the biometrics paved the way to use the biometric traits such as face, fingerprint, ear,
iris, and palm (etc) as an authentication tool. It is not easy to duplicate or replace the
biometric traits. Biometrics acts as the reasonable identification authority for identifying
a human.