The following guest post was submitted by Daniel Martinkovics, a military and security engineer. One can notice that each of the two described systems is capable of competing with the commercial hand geometry systems. Despite that it is still relevant in many physical access and time/attendance applications. It includes extracting small hand curves that can be parts of the one bigger curve which represents hand shape. This means a very good automation, but may raise hygienic concerns among certain users – as all contact required technology does.

a few hundred thousands), it can be taken as a unique characteristics. Using two vertical lines they found the edges of the thumb. I need to mention here that the current design for devices that use this technology holds the possibility for a potent live sample detection: the base plate that the hand rests on could include, for example, vein detection, which would significantly increase security (and possibly provide a two factor authentication). In large populations, hand geometry is not suitable for so-called one-to-many applications, in which a user is identified from his biometric without any other identification. Depending on illumination, binary images were constructed and the geometrical features (30-40 finger widths) were obtained from them.
The biggest disadvantages of hand geometry lie in the following facts. For each position Wi, author computed four values Maxvalωi, Maxindexωi, Minvalωiand Minindexωias: Ps and Pe could then be obtained by locating the position Wiwhere Maxvalωi-Minvalωi was the maximum. This will lead to different hand shape and differently calculated features. Hand recognition biometrics is probably the most developed and applicable biometric technique that found its application in many organizations. capture systems are commonly used by merchants to capture electronic signatures in the To achieve that the right-most point of the thumb had to be identified. PDA. Peg based hand geometry systems use pegs on the device board to guide the hand placement on the device. The sample should be irremovably tied to the user and unique enough for identification: The devices using this technology generally work in 1:1 (or one-to-one) mode along with a PIN and optionally, RFID cards, since hands are not considered unique enough for 1:N (or one-to-many) identification methods. Final result of this process is image containing hand shape and side view image containing pegs in the predefined positions. With keystroke recognition, a user must type without making any corrections. Hand shapes of the same hand extracted, overlaid and aligned [13].

Keystroke recognition biometrics is generally considered to be the easiest biometric technology to implement and use.

Security intensive applications can also make use of multi-biometric systems, something that hand geometry systems do not offer. Systems without pegs are more tolerant when it comes to placing a hand on the device used for image acquiring.

The weights are distances between two graph vertices that are connected with an edge. The gray level of an arbitrary pixel along a particular axis is independent of the gray level of other pixels in the line.
Licensee IntechOpen. A biometric modality is expected to be resistant against any attempt of circumvention. Earlier hand geometry recognition enjoyed higher acceptability than fingerprint recognition, but now people have also well accepted fingerprint based recognition due to its increasing presence in personal digital devices like smartphones and computers and civil identification applications. A system that uses pegs was developed by Jain et al. So far, the GMMs and SVM give the best results but they are far from satisfying for commercial use.

System provided support through control points and helps in defining the interception points. An important element (researchers did not consider it) in this field is aging, i.e. Although most individuals possess some unique features to their hands, it does not possess rich data, like human iris or retina. Measuring palm and fingers was made through fourteen intersection points. Hand Geometry-- Hand geometry systems use an optical camera to capture two orthogonal twodimensional From a hundred randomly chosen persons, at least two will have similar hand geometry. The signature is captured when a person signs The enrollment process of a hand geometry system typically requires the capture of three sequential images of the hand, which are evaluated and measured to create a template of the user’s characteristics. There is no documentary evidence of hand geometry of a person being unique, but given the possibility of variation of anatomical structure of a group of people, hand geometry can be considered a human physiological characteristic that can be used to uniquely identify an individual. The entire process takes a fraction of the time that would be required for an immigration inspector to manually review the traveler's credentials. Brief introduction to this section that descibes Open Access especially from an IntechOpen perspective, Want to get in touch?

Eliminates the need to create, administer or carry cards, hence reduces overall cost, time and efforts over traditional attendance systems.

The system is not well suited for performing one-to-many identification matches. Present day hand geometry readers can store biometric data of over 40,000 subjects and still work with the same efficiency and accuracy. This process of capturing one's hand measurements occurs with amazing speed; within one second.

The 1996 Olympic Games implemented hand geometry systems to control and protect physical access to the Olympic Village. This allows better extraction of the hand from the image background. Hand geometry is time sensitive and the shape of the hand can be changed during illness, aging or weight changing. The large size of the actual hand geometry readers restricts their use in widespread #ga-ad {display: none;} Fotak and Karlovčec [16] presented a different method of feature extraction. Human hand parts .

Hand geometry readers are commonly used for employee attendance and physical access applications.

To authenticate an individual, keystroke recognition relies solely on software, which can reside on the client or host system. Advertisement. Hand image was normalized by using basic morphological operators and edge detection. Key advantages are very low FRR (false rejection rates), fool-proof design, and a remarkable resistance to both contaminated, dirty environments and lighter injuries to the sample.

Hand geometry recognition biometrics leverages the idea that hand geometry of each individual is unique. Viable hand geometry devices have been manufactured since the early 1980s, making hand geometry the first biometric to find widespread computerized use.

The components are usually easily cleaned so the technology is really suitable for production environments. They typically collect more than 90 dimensional measurements, including The signature dynamics information is encrypted and compressed into a template. Let the pixels along a measurement axis be numbered from 1 to Len. Author acquired a hundred images (number of persons is not known), size 512x512 pixels.

The location of that point was determined by using the horizontal line y1. This was just one way of using hand shape for personal verification. The number of images per person varied from 2 to 15. Geometry is used in everyday life for building and construction, home decorating, outdoor projects and professional work. The areas of the palm are: lower palm, middle palm, upper palm, thenar (thumb part) and hypothenar (little finger part). It would require entire 3D replica of a subject’s hand to circumvent the system. User has to put his/her hand on the platen to have it scanned. Hand features, described earlier in the chapter, are used in the devices for personal verification and identification. They are also used for the known traveler programs, such as the Transportation Security Administration's Registered Passenger Program, Even different fingers of the same person have different fingerprints. What’s the Secret on Choosing a Suitable Biometric Modality? Leave a message.

The Importance of POS Software for a Salon Owner, The Highs & Lows of Using the Biometric Data in Education, The Advantages of a Biometric Identification Management System. All rights reserved.

Using the application defined for given purpose, the processor converts these measurements to biometric pattern. Unlike hand geometry recognition, which is only suitable for employee or member identification, fingerprint recognition can be used for any application requiring personal identification, be it physical or logical.

More reliable audit trails than traditional card or paper based systems. The same procedure was made for each of 31 points.

SVM is the most common used verification and identification method.

The main problem in those systems is relatively small number of users (from 25 to 55 and from 100 to 350 images). Pegs were used to place the hand in the right position.

After the identification data are confirmed, one can usually gain access right to secured place. Handwriting-- Handwriting is unique to every individual.

A hand geometry reader is a device that can capture and process human hand geometry and produce a digital biometric template that can be used to establish identity and verify it later. control and recording work time and attendance.

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