The effect of image alterations on identification using palmar flexion creases.

Palmprints are identified using matching of minutia points, which can be time consuming for fingerprint experts and in database searches. This article analyzes the operational characteristics of a palmar flexion crease (PFC) identification software tool, using a dataset of 10 replicates of 100 palms, where the user can label and match palmar line features. Results show that 100 palmprint images modified 10 times each using rotation, translation, and additive noise, mimicking some of the characteristics found in crime scene palmar marks, can be identified with a 99.

Preliminary analysis of the nature and processing of palm marks by a U.K. fingerprint bureau.

The nature of crime scene palmar images (CSPI) or factors affecting search parameters using a palm-enabled AFIS system have not been investigated. A questionnaire-based survey, undertaken by U.K.

Collective emotions online and their influence on community life.

Background: E-communities, social groups interacting online, have recently become an object of interdisciplinary research. As with face-to-face meetings, Internet exchanges may not only include factual information but also emotional information--how participants feel about the subject discussed or other group members. Emotions in turn are known to be important in affecting interaction partners in offline communication in many ways.