International Journal of Electrical Electronics & Computer Science Engineering Volume 1, Issue 1 (February 2014), ISSN : 2348 2273 Available Online at www.ijeecse.com 11 Miscellaneous Survey on Biometric Authentication System Based on Palmprint and Face Recognition Ajinkya Patil, Milind E. Rane Vishwakarma Institute of Technology, Pune India Abstract: Reliability in the personal authentication is key to the security in the networked society.Many physiological characteristics of humans,i.e.biometrics, are typically time invariant,easy to acquire, and unique for every individual. Biometric features such as face, iris, fingerprint, hand geometry, palmprint, signature, etc. have been suggested for the securityin access control. Palmprint and face recognition has been investigated critically in this paper. Many different algorithms for recognition have been addressed in this paper along with its advantages and disadvantages. This paper provides an overview of current palmprint and face research, describing in particular capture devices, preprocessing, verification algorithms. Finally some advantages of multimodal biometric fusion are stated. I. INTRODUCTIONS Biometric is the science of measuring human’s characteristics for the purpose of authenticating or identifying the identity of an individual based on specific physiological or behavioral characteristics. The design of a biometric system takes account of five objectives: cost, user acceptance and environment constraints, accuracy, computation speed and security. Reducing accuracy can increase speed. Typical examples are hierarchical approaches. Reducing user acceptance can improve accuracyA biometric system installed in PDA (personal digital assistant) requires low power and memory consumption but these requirements may not be vital for biometric access control systems.Biometric has gained much attention in the security world recently. Many types of personal identification systems have been developed and palmprint verification is one of the emerging technologies because of its stable, unique characteristics, low-price capture device, fast execution speed also it provides a large area for feature extraction.In this paper a wide range of survey is carried on face and palmprint recognition technique. Starting with palmprint, it recognizes a person based on the principal lines, wrinkles and ridges on the surface of the palm. The recognition process consists of image acquisition, preprocessing, feature extraction, matching and result[2] and[34]. The different techniques are used for the preprocessing, feature extraction, classifiers.In personal authentication, palmprint employs either high resolution or low resolution images. The high resolution images refer to 500 dpi or more and suitable for forensic applications such as criminal detection while low resolution images refer to 100 dpi or less and suitable for civil, commercial applications such as access control. Palmprint consists of principal lines, wrinkles and ridges. The principal lines are the major lines existing in most of people palmprint. The three main principal lines are heart line, headline and lifeline. Wrinkles and ridges are the coarse and fine lines of the palmprint respectively. The high resolution images can generally extract all the features while in low resolution only principal lines, wrinkles can be extracted. Algorithmic surveyed is carried out on palm from [1-16]. In face recognition literature, many researchers design algorithms based on prior knowledge of the face.However, facial images can be easily obtained with a couple of inexpensive fixed cameras. Good face recognition algorithms and appropriate preprocessing of the images can compensate for noise and slight variations in orientation, scale and illumination. Finally, technologies that require multiple individuals to use the same equipment to capture their biological characteristics potentially expose the user to the transmission of germs and impurities from other users. However, face recognition is totally non-intrusive and does not carry any such health risks.Algorithmic surveyed on face is carried out from [17-33]. In this paper after a brief introduction the remaining section is divided into four sections. Section 3 gives brief overview on palmprint recognition followed by face recognition technique in section 4. Section 5 gives brief discussion on multimodal biometric system. Finally conclusion is stated in section 6. II. PALMPRINT RECOGNITION Definition Fig. 1. An illustration of a typical palmprint recognition system A typical palmprint recognition system consists of five parts: palmprint scanner, preprocessing, feature extraction, matcher