Foods native to indigenous and afro-descendents in Colombia

For social programs in Colombia, like those administered by the Instituto Colombiano de Bienestar Familiar (ICBF), it's important to know what native foods minority groups consume. This research obtained information on native foods consumed by indigenous and afro-descendents living in 10 Colombian departments: Cauca, Nari?o, Amazonas, Chocó, Guainia, Vichada, Magdalena, Guajira, Cesar y Vaupés. A questionnaire was applied to key informants (individually or in groups), addressing the following topics: personal information on the informant, name and type of food, if consumed by indigenous and/or afro-Colombians, climate where produced, time of year when harvested, if consumed raw or cooked, preparations, properties ascribed to the food, and current production, use and availability. Key informants included participants in ICBF's programs, indigenous authorities, teachers, traditional healers, and others, under the supervision of professionals from ICBF's mobile unit in each department. Bibliography (n = 123 documents) was compiled and reviewed. In the departments selected, 13 municipalities were visited, 139 individuals were interviewed and at least 92 new foods (i.e., not currently included in the Colombian Food Composition Table) were identified. Among the 92, the scientific name was obtained for 62 foods. Of these, 2 were classified as other, 18 as meats, 3 as insects, and 39 as plants. Among the plants, informants mentioned fruit (n=29), leaves (n=4), seed (n=3) and roots (n=3). Indigenous and afro-descendent communities in Colombia report consuming dozens of foods that are not currently in the Colombian Food Composition Table.     

Structural analysis of Arabic handwriting: segmentation and recognition

In this paper, a structural method of recognising Arabic handwritten characters is proposed. The major problem in cursive text recognition is the segmentation into characters or into representative strokes. When we segment the cursive portions of words, we take into account the contextual properties of the Arabic grammar and the junction segments connecting the characters to each other along the writing line. The problem of overlapping characters is resolved with a contour-following algorithm associated with the labelling of the detected contours. In the recognition phase, the characters are gathered into ten families of candidate characters with similar shapes. Then a heterarchical analysis follows that checks the pattern via goal-directed feedback control.