RESEARCH
Automaton-Based Framework for Validating and Extracting Information from Vehicle Plate Numbers in the Philippines
AutomatonTheoretical Computer Science
What I didCo-Author
Current statusPreprint · ResearchGate

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Description
This study develops a Finite State Accepter that validates Philippine vehicle and motorcycle plate numbers against the LTO's current formats (LLL DDDD, L DDD LL, DDD LLL). A consolidated automaton was built and implemented as a program, then tested against 100 valid and 50 invalid plate numbers. All valid plates were correctly accepted and all invalid plates correctly rejected, demonstrating the framework's reliability for automated plate validation.

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